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#Thu Jun 05 00:28:15 CST 2025
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java.home=/Applications/Android Studio.app/Contents/jbr/Contents/Home
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package org.tensorflow.lite.examples.poseestimation
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import android.content.Context
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import android.os.Bundle
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import android.view.LayoutInflater
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import android.view.View
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import android.view.ViewGroup
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import android.widget.Toast
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import androidx.fragment.app.Fragment
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import org.tensorflow.lite.examples.poseestimation.R
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import androidx.lifecycle.lifecycleScope
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import androidx.recyclerview.widget.LinearLayoutManager
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import androidx.recyclerview.widget.RecyclerView
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import kotlinx.coroutines.Dispatchers
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import kotlinx.coroutines.flow.firstOrNull
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import kotlinx.coroutines.launch
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import kotlinx.coroutines.withContext
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import org.tensorflow.lite.examples.poseestimation.data.AppDatabase
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class DataFragment : Fragment() {
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private lateinit var recyclerView: RecyclerView
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private lateinit var adapter: VideoAnalysisAdapter
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private var currentUsername: String? = null
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override fun onCreateView(
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inflater: LayoutInflater, container: ViewGroup?,
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savedInstanceState: Bundle?
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): View? {
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android.util.Log.d("DataFragment", "onCreateView called")
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return inflater.inflate(R.layout.fragment_data, container, false)
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}
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override fun onViewCreated(view: View, savedInstanceState: Bundle?) {
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super.onViewCreated(view, savedInstanceState)
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android.util.Log.d("DataFragment", "onViewCreated called")
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// 获取当前登录用户名
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val prefs = requireContext().getSharedPreferences("user_prefs", Context.MODE_PRIVATE)
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currentUsername = prefs.getString("username", null)?.trim()
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android.util.Log.d("DataFragment", "Current Username: $currentUsername")
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if (currentUsername == null) {
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Toast.makeText(requireContext(), "未登录，无法查看数据", Toast.LENGTH_SHORT).show()
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android.util.Log.w("DataFragment", "Current username is null, cannot load data.")
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return
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}
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recyclerView = view.findViewById(R.id.recycler_view_video_analysis_results)
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recyclerView.layoutManager = LinearLayoutManager(context)
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loadVideoAnalysisResults()
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}
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private fun loadVideoAnalysisResults() {
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android.util.Log.d("DataFragment", "loadVideoAnalysisResults called for username: $currentUsername")
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currentUsername?.let { username ->
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lifecycleScope.launch {
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val db = AppDatabase.getDatabase(requireContext())
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val results = withContext(Dispatchers.IO) {
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db.videoAnalysisResultDao().getVideoAnalysisResultsByUsername(username).firstOrNull()
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}
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withContext(Dispatchers.Main) {
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if (results != null && results.isNotEmpty()) {
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android.util.Log.d("DataFragment", "Loaded ${results.size} video analysis results.")
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adapter = VideoAnalysisAdapter(results)
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recyclerView.adapter = adapter
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} else {
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// 没有数据，可以显示一个提示
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Toast.makeText(requireContext(), "暂无训练记录", Toast.LENGTH_SHORT).show()
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android.util.Log.d("DataFragment", "No video analysis results found for username: $username")
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}
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}
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}
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}
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}
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}
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@ -1,18 +1,23 @@
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package org.tensorflow.lite.examples.poseestimation
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import android.os.Bundle
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import androidx.fragment.app.Fragment
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import androidx.fragment.app.FragmentActivity
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import androidx.viewpager2.adapter.FragmentStateAdapter
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class OnboardingAdapter(activity: FragmentActivity) : FragmentStateAdapter(activity) {
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class OnboardingAdapter(activity: FragmentActivity, private val username: String?) : FragmentStateAdapter(activity) {
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override fun getItemCount(): Int = 3
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override fun createFragment(position: Int): Fragment {
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return when (position) {
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val fragment = when (position) {
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0 -> Onboarding1Fragment()
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1 -> Onboarding2Fragment()
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2 -> Onboarding3Fragment()
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else -> Onboarding1Fragment()
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}
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fragment.arguments = Bundle().apply {
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putString("username", username)
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}
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return fragment
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}
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}
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package org.tensorflow.lite.examples.poseestimation
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import android.app.Activity
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import android.content.Context
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import android.content.Intent
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import android.graphics.Bitmap
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import android.media.MediaMetadataRetriever
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import android.net.Uri
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import android.os.Bundle
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import android.provider.OpenableColumns
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import android.view.View
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import android.widget.Button
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import android.widget.ProgressBar
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import android.widget.TextView
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import android.widget.Toast
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import androidx.activity.result.contract.ActivityResultContracts
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import androidx.appcompat.app.AppCompatActivity
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import androidx.lifecycle.lifecycleScope
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import kotlinx.coroutines.Dispatchers
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import kotlinx.coroutines.launch
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import kotlinx.coroutines.withContext
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import kotlinx.coroutines.delay
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import org.tensorflow.lite.examples.poseestimation.data.AppDatabase
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import org.tensorflow.lite.examples.poseestimation.data.VideoAnalysisResult
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import org.tensorflow.lite.examples.poseestimation.ml.MoveNet
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import org.tensorflow.lite.examples.poseestimation.ml.PoseDetector
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import org.tensorflow.lite.examples.poseestimation.ml.ModelType
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import org.tensorflow.lite.examples.poseestimation.data.Device
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import org.tensorflow.lite.examples.poseestimation.data.Person
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import org.tensorflow.lite.examples.poseestimation.data.KeyPoint
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import org.tensorflow.lite.examples.poseestimation.evaluator.DeadliftEvaluator
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import org.tensorflow.lite.examples.poseestimation.evaluator.SquatEvaluator
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import org.tensorflow.lite.examples.poseestimation.evaluator.ExerciseEvaluator
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import org.tensorflow.lite.examples.poseestimation.evaluator.PlankEvaluator
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import org.tensorflow.lite.examples.poseestimation.evaluator.PullUpEvaluator
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import org.tensorflow.lite.examples.poseestimation.evaluator.PushUpEvaluator
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class VideoAnalysisActivity : AppCompatActivity() {
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private lateinit var tvExerciseName: TextView
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private lateinit var btnSelectVideo: Button
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private lateinit var tvAnalysisStatus: TextView
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private lateinit var progressBarAnalysis: ProgressBar
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private var currentExerciseType: String? = null
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private var currentUsername: String? = null
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private lateinit var poseDetector: PoseDetector
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// 用于存储复制到内部存储后的视频URI
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private var internalVideoUri: Uri? = null
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// Launcher for selecting video from local storage
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private val selectVideoLauncher = registerForActivityResult(ActivityResultContracts.StartActivityForResult()) { result ->
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if (result.resultCode == Activity.RESULT_OK) {
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val videoUri: Uri? = result.data?.data
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videoUri?.let {
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// 将视频复制到内部存储
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lifecycleScope.launch(Dispatchers.IO) {
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val copiedUri = copyVideoToInternalStorage(it)
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withContext(Dispatchers.Main) {
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if (copiedUri != null) {
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internalVideoUri = copiedUri
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android.util.Log.d("VideoAnalysisActivity", "视频已复制到内部存储: $internalVideoUri")
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tvAnalysisStatus.text = "已选择视频: ${getFileName(it)}，开始分析..."
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tvAnalysisStatus.visibility = View.VISIBLE
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progressBarAnalysis.visibility = View.VISIBLE
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progressBarAnalysis.progress = 0
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startVideoAnalysis(internalVideoUri!!, currentExerciseType)
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} else {
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Toast.makeText(this@VideoAnalysisActivity, "视频复制失败，请重试", Toast.LENGTH_SHORT).show()
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tvAnalysisStatus.text = "视频复制失败"
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tvAnalysisStatus.visibility = View.VISIBLE
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progressBarAnalysis.visibility = View.GONE
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}
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}
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}
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} ?: run {
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Toast.makeText(this, "未选择视频", Toast.LENGTH_SHORT).show()
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tvAnalysisStatus.text = "未选择视频"
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tvAnalysisStatus.visibility = View.VISIBLE
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progressBarAnalysis.visibility = View.GONE
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}
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} else {
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Toast.makeText(this, "取消选择视频", Toast.LENGTH_SHORT).show()
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tvAnalysisStatus.text = "取消选择视频"
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tvAnalysisStatus.visibility = View.VISIBLE
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progressBarAnalysis.visibility = View.GONE
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}
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}
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override fun onCreate(savedInstanceState: Bundle?) {
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super.onCreate(savedInstanceState)
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setContentView(R.layout.activity_video_analysis)
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// 获取当前登录用户名 (假设用SharedPreferences存储)
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val prefs = getSharedPreferences("user_prefs", Context.MODE_PRIVATE)
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currentUsername = prefs.getString("username", null)?.trim()
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if (currentUsername == null) {
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Toast.makeText(this, "未登录，请重新登录", Toast.LENGTH_SHORT).show()
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startActivity(Intent(this, LoginActivity::class.java))
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finish()
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return
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}
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// Get exercise name from intent
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currentExerciseType = intent.getStringExtra("current_exercise")
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// Initialize views
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tvExerciseName = findViewById(R.id.tv_exercise_name)
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btnSelectVideo = findViewById(R.id.btn_select_video)
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tvAnalysisStatus = findViewById(R.id.tv_analysis_status)
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progressBarAnalysis = findViewById(R.id.progress_bar_analysis)
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// Initialize PoseDetector (using MoveNet Lightning by default)
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poseDetector = MoveNet.create(this, Device.CPU, ModelType.Lightning)
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// Set exercise name
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tvExerciseName.text = currentExerciseType ?: "未知动作"
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// Set click listener for video selection button
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btnSelectVideo.setOnClickListener {
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openVideoPicker()
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}
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}
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// Override onDestroy to close the poseDetector
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override fun onDestroy() {
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super.onDestroy()
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poseDetector.close()
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}
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private fun openVideoPicker() {
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val intent = Intent(Intent.ACTION_GET_CONTENT)
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intent.type = "video/*"
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intent.addCategory(Intent.CATEGORY_OPENABLE)
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selectVideoLauncher.launch(Intent.createChooser(intent, "选择视频"))
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}
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// Helper function to get file name from Uri
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private fun getFileName(uri: Uri): String {
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var result: String? = null
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if (uri.scheme == "content") {
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val cursor = contentResolver.query(uri, null, null, null, null)
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cursor?.use {
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if (it.moveToFirst()) {
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val nameIndex = it.getColumnIndex(OpenableColumns.DISPLAY_NAME)
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if (nameIndex != -1) {
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result = it.getString(nameIndex)
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}
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}
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}
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}
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if (result == null) {
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result = uri.path
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val cut = result?.lastIndexOf('/')
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if (cut != -1) {
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result = result?.substring(cut!! + 1)
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}
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}
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return result ?: "未知文件"
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}
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// 将视频复制到应用内部存储并返回新URI
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private fun copyVideoToInternalStorage(uri: Uri): Uri? {
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return try {
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val inputStream = contentResolver.openInputStream(uri)
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val outputFileName = "video_${System.currentTimeMillis()}.mp4"
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val outputFile = java.io.File(filesDir, outputFileName)
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val outputStream = outputFile.outputStream()
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inputStream?.copyTo(outputStream)
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inputStream?.close()
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outputStream.close()
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android.util.Log.d("VideoAnalysisActivity", "视频已复制到: ${outputFile.absolutePath}")
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Uri.fromFile(outputFile)
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} catch (e: Exception) {
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android.util.Log.e("VideoAnalysisActivity", "复制视频到内部存储出错: ${e.message}", e)
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null
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}
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}
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// Placeholder for video analysis logic
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private fun startVideoAnalysis(videoUri: Uri, exerciseType: String?) {
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val db = AppDatabase.getDatabase(applicationContext)
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val videoAnalysisResultDao = db.videoAnalysisResultDao()
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lifecycleScope.launch(Dispatchers.IO) {
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withContext(Dispatchers.Main) {
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tvAnalysisStatus.text = "正在初始化姿态识别模型..."
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btnSelectVideo.isEnabled = false // Disable button during analysis
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}
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val retriever = MediaMetadataRetriever()
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retriever.setDataSource(applicationContext, videoUri)
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val durationMs = retriever.extractMetadata(MediaMetadataRetriever.METADATA_KEY_DURATION)?.toLong() ?: 0
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// Process frames at a reasonable interval, e.g., 10 frames per second for analysis
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val frameRate = 10 // frames per second
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val frameIntervalUs = 1_000_000L / frameRate // interval in microseconds
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var currentFrameTimeUs = 0L
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// Initialize evaluator based on exercise type
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val evaluator: ExerciseEvaluator? = when (exerciseType) {
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"硬拉" -> DeadliftEvaluator()
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"深蹲" -> SquatEvaluator()
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"平板支撑" -> PlankEvaluator()
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"引体向上" -> PullUpEvaluator()
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"俯卧撑" -> PushUpEvaluator()
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// TODO: Add evaluators for other exercises
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else -> null
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}
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while (currentFrameTimeUs <= durationMs * 1000) { // durationMs is in milliseconds, getFrameAtTime expects microseconds
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val bitmap = retriever.getFrameAtTime(currentFrameTimeUs, MediaMetadataRetriever.OPTION_CLOSEST_SYNC)
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bitmap?.let { frameBitmap ->
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val persons = poseDetector.estimatePoses(frameBitmap)
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val person = persons.firstOrNull()
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person?.let { p ->
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if (p.score > 0.3) { // Only consider poses with reasonable confidence
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// Pass keypoints to the evaluator
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evaluator?.evaluateFrame(p.keyPoints)
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}
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}
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frameBitmap.recycle() // Recycle bitmap to free memory
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}
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val progress = ((currentFrameTimeUs.toFloat() / (durationMs * 1000)) * 100).toInt()
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withContext(Dispatchers.Main) {
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progressBarAnalysis.progress = progress
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tvAnalysisStatus.text = "正在分析视频帧: ${currentFrameTimeUs / 1000}ms / ${durationMs}ms"
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}
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currentFrameTimeUs += frameIntervalUs
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}
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retriever.release()
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withContext(Dispatchers.Main) {
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tvAnalysisStatus.text = "姿态识别完成，正在评估..."
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}
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// --- Pose Evaluation and Scoring ---
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val finalScore: Float
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val evaluation: String
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if (evaluator != null) {
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finalScore = evaluator.getFinalScore()
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evaluation = evaluator.getFinalEvaluation(finalScore)
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} else {
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finalScore = 0f
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evaluation = "暂不支持该动作的详细评估。"
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}
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// Store result in database
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val result = VideoAnalysisResult(
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username = currentUsername ?: "未知用户",
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exerciseType = exerciseType ?: "未知运动",
|
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videoUri = videoUri.toString(), // 使用已经复制到内部存储的URI
|
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score = finalScore,
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evaluation = evaluation,
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timestamp = System.currentTimeMillis()
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)
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videoAnalysisResultDao.insertVideoAnalysisResult(result)
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|
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withContext(Dispatchers.Main) {
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tvAnalysisStatus.text = "分析完成！正在显示结果..."
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progressBarAnalysis.visibility = View.GONE
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btnSelectVideo.isEnabled = true // Re-enable button
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|
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val intent = Intent(this@VideoAnalysisActivity, VideoAnalysisResultActivity::class.java).apply {
|
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putExtra("exercise_name", currentExerciseType)
|
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putExtra("score", finalScore)
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putExtra("evaluation", evaluation)
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}
|
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startActivity(intent)
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finish() // Finish this activity so user can't go back to it
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}
|
||||
}
|
||||
}
|
||||
}
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@ -0,0 +1,71 @@
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package org.tensorflow.lite.examples.poseestimation
|
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|
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import android.content.Intent
|
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import android.net.Uri
|
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import android.view.LayoutInflater
|
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import android.view.View
|
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import android.view.ViewGroup
|
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import android.widget.ImageView
|
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import android.widget.TextView
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import android.widget.Toast
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import androidx.recyclerview.widget.RecyclerView
|
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import com.bumptech.glide.Glide
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import androidx.core.content.FileProvider
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import org.tensorflow.lite.examples.poseestimation.data.VideoAnalysisResult
|
||||
import java.io.File
|
||||
import java.text.SimpleDateFormat
|
||||
import java.util.Date
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import java.util.Locale
|
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|
||||
class VideoAnalysisAdapter(private val results: List<VideoAnalysisResult>) : RecyclerView.Adapter<VideoAnalysisAdapter.VideoAnalysisViewHolder>() {
|
||||
|
||||
class VideoAnalysisViewHolder(itemView: View) : RecyclerView.ViewHolder(itemView) {
|
||||
val tvExerciseType: TextView = itemView.findViewById(R.id.tv_exercise_type)
|
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val tvScore: TextView = itemView.findViewById(R.id.tv_score)
|
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val tvEvaluation: TextView = itemView.findViewById(R.id.tv_evaluation)
|
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val videoThumbnail: ImageView = itemView.findViewById(R.id.video_thumbnail)
|
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}
|
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|
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override fun onCreateViewHolder(parent: ViewGroup, viewType: Int): VideoAnalysisViewHolder {
|
||||
val view = LayoutInflater.from(parent.context).inflate(R.layout.item_video_analysis_card, parent, false)
|
||||
return VideoAnalysisViewHolder(view)
|
||||
}
|
||||
|
||||
override fun onBindViewHolder(holder: VideoAnalysisViewHolder, position: Int) {
|
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val result = results[position]
|
||||
holder.tvExerciseType.text = "运动类型：${result.exerciseType}"
|
||||
holder.tvScore.text = "${result.score.toInt()} 分"
|
||||
holder.tvEvaluation.text = "评价：${result.evaluation}"
|
||||
|
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Glide.with(holder.itemView.context)
|
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.load(Uri.parse(result.videoUri))
|
||||
.placeholder(R.drawable.placeholder_image)
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.error(R.drawable.placeholder_image)
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.into(holder.videoThumbnail)
|
||||
|
||||
android.util.Log.d("VideoAnalysisAdapter", "Loading video thumbnail for URI: ${result.videoUri}")
|
||||
|
||||
holder.videoThumbnail.setOnClickListener {
|
||||
try {
|
||||
val videoFile = File(Uri.parse(result.videoUri).path)
|
||||
val context = holder.itemView.context
|
||||
|
||||
val contentUri: Uri = FileProvider.getUriForFile(
|
||||
context,
|
||||
"${context.packageName}.fileprovider",
|
||||
videoFile
|
||||
)
|
||||
|
||||
val intent = Intent(Intent.ACTION_VIEW)
|
||||
intent.setDataAndType(contentUri, "video/*")
|
||||
intent.addFlags(Intent.FLAG_GRANT_READ_URI_PERMISSION)
|
||||
context.startActivity(intent)
|
||||
} catch (e: Exception) {
|
||||
android.util.Log.e("VideoAnalysisAdapter", "无法播放视频: ${result.videoUri}, 错误: ${e.message}", e)
|
||||
Toast.makeText(holder.itemView.context, "无法播放视频，请检查文件或权限", Toast.LENGTH_SHORT).show()
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
override fun getItemCount(): Int = results.size
|
||||
}
|
||||
@ -0,0 +1,30 @@
|
||||
package org.tensorflow.lite.examples.poseestimation
|
||||
|
||||
import android.os.Bundle
|
||||
import android.widget.TextView
|
||||
import androidx.appcompat.app.AppCompatActivity
|
||||
|
||||
class VideoAnalysisResultActivity : AppCompatActivity() {
|
||||
|
||||
override fun onCreate(savedInstanceState: Bundle?) {
|
||||
super.onCreate(savedInstanceState)
|
||||
setContentView(R.layout.activity_video_analysis_result)
|
||||
|
||||
val tvExerciseName = findViewById<TextView>(R.id.tv_result_exercise_name)
|
||||
val tvScore = findViewById<TextView>(R.id.tv_result_score)
|
||||
val tvEvaluation = findViewById<TextView>(R.id.tv_result_evaluation)
|
||||
|
||||
// 从 Intent 中获取数据
|
||||
val exerciseName = intent.getStringExtra("exercise_name")
|
||||
val score = intent.getFloatExtra("score", 0f)
|
||||
val evaluation = intent.getStringExtra("evaluation")
|
||||
|
||||
// 设置数据显示
|
||||
tvExerciseName.text = exerciseName ?: "未知动作"
|
||||
tvScore.text = String.format("%.1f", score) // 格式化得分，保留一位小数
|
||||
tvEvaluation.text = evaluation ?: "暂无评价"
|
||||
|
||||
// 设置标题 (可选)
|
||||
supportActionBar?.title = "分析结果"
|
||||
}
|
||||
}
|
||||
@ -0,0 +1,15 @@
|
||||
package org.tensorflow.lite.examples.poseestimation.data
|
||||
|
||||
import androidx.room.Entity
|
||||
import androidx.room.PrimaryKey
|
||||
|
||||
@Entity(tableName = "video_analysis_results")
|
||||
data class VideoAnalysisResult(
|
||||
@PrimaryKey(autoGenerate = true) val id: Long = 0,
|
||||
val username: String,
|
||||
val exerciseType: String,
|
||||
val videoUri: String,
|
||||
val score: Float, // Simplified score for now
|
||||
val evaluation: String,
|
||||
val timestamp: Long // Timestamp for when the analysis was performed
|
||||
)
|
||||
@ -0,0 +1,19 @@
|
||||
package org.tensorflow.lite.examples.poseestimation.data
|
||||
|
||||
import androidx.room.Dao
|
||||
import androidx.room.Insert
|
||||
import androidx.room.Query
|
||||
import kotlinx.coroutines.flow.Flow
|
||||
|
||||
@Dao
|
||||
interface VideoAnalysisResultDao {
|
||||
@Insert
|
||||
fun insertVideoAnalysisResult(result: VideoAnalysisResult): Long
|
||||
|
||||
@Query("SELECT * FROM video_analysis_results WHERE username = :username ORDER BY timestamp DESC")
|
||||
fun getVideoAnalysisResultsByUsername(username: String): Flow<List<VideoAnalysisResult>>
|
||||
|
||||
// Optional: Get results for a specific exercise type
|
||||
@Query("SELECT * FROM video_analysis_results WHERE username = :username AND exerciseType = :exerciseType ORDER BY timestamp DESC")
|
||||
fun getVideoAnalysisResultsByUsernameAndExerciseType(username: String, exerciseType: String): Flow<List<VideoAnalysisResult>>
|
||||
}
|
||||
@ -0,0 +1,9 @@
|
||||
package org.tensorflow.lite.examples.poseestimation.evaluator
|
||||
|
||||
import org.tensorflow.lite.examples.poseestimation.data.KeyPoint
|
||||
|
||||
interface ExerciseEvaluator {
|
||||
fun evaluateFrame(keyPoints: List<KeyPoint>)
|
||||
fun getFinalScore(): Float
|
||||
fun getFinalEvaluation(finalScore: Float): String
|
||||
}
|
||||
@ -0,0 +1,237 @@
|
||||
package org.tensorflow.lite.examples.poseestimation.evaluator
|
||||
|
||||
import org.tensorflow.lite.examples.poseestimation.data.KeyPoint
|
||||
import org.tensorflow.lite.examples.poseestimation.data.BodyPart
|
||||
import kotlin.math.abs
|
||||
import kotlin.math.roundToInt
|
||||
|
||||
// 定义俯卧撑动作的阶段
|
||||
enum class PushUpState {
|
||||
START, // 起始姿态（手臂伸直）
|
||||
DESCENT, // 下降过程
|
||||
BOTTOM, // 底部姿态（胸部接近地面）
|
||||
ASCENT, // 上推过程
|
||||
LOCKOUT // 恢复到起始姿态
|
||||
}
|
||||
|
||||
class PushUpEvaluator : ExerciseEvaluator {
|
||||
|
||||
private var currentState: PushUpState = PushUpState.START
|
||||
private var totalScore: Float = 0f
|
||||
private var frameCount: Int = 0
|
||||
private var evaluationMessages: MutableList<EvaluationMessage> = mutableListOf()
|
||||
private var repCount: Int = 0
|
||||
private var isRepCounting: Boolean = false
|
||||
|
||||
// 俯卧撑关键角度阈值 (示例值，需要根据实际模型和标准进行调整)
|
||||
private val ELBOW_ANGLE_START_MIN = 170f // 起始姿态（手臂伸直，放宽要求）
|
||||
private val ELBOW_ANGLE_BOTTOM_MAX = 100f // 底部姿态（手肘弯曲程度，放宽要求）
|
||||
private val HIP_SHOULDER_ANKLE_MIN = 160f // 身体直线（髋-肩-踝）
|
||||
private val HIP_SHOULDER_ANKLE_MAX = 185f // 允许略微的弧度
|
||||
|
||||
// Helper function to calculate angle between three keypoints (A-B-C)
|
||||
// B is the vertex of the angle
|
||||
private fun calculateAngle(A: KeyPoint, B: KeyPoint, C: KeyPoint): Float {
|
||||
return B.abttPoints(A, B, C)
|
||||
}
|
||||
|
||||
override fun evaluateFrame(keyPoints: List<KeyPoint>) {
|
||||
if (keyPoints.isEmpty()) {
|
||||
evaluationMessages.add(EvaluationMessage("未检测到关键点，无法评估。", true))
|
||||
return
|
||||
}
|
||||
|
||||
frameCount++
|
||||
|
||||
// 获取俯卧撑所需关键点
|
||||
val leftShoulder = keyPoints.find { it.bodyPart == BodyPart.LEFT_SHOULDER }
|
||||
val rightShoulder = keyPoints.find { it.bodyPart == BodyPart.RIGHT_SHOULDER }
|
||||
val leftElbow = keyPoints.find { it.bodyPart == BodyPart.LEFT_ELBOW }
|
||||
val rightElbow = keyPoints.find { it.bodyPart == BodyPart.RIGHT_ELBOW }
|
||||
val leftWrist = keyPoints.find { it.bodyPart == BodyPart.LEFT_WRIST }
|
||||
val rightWrist = keyPoints.find { it.bodyPart == BodyPart.RIGHT_WRIST }
|
||||
val leftHip = keyPoints.find { it.bodyPart == BodyPart.LEFT_HIP }
|
||||
val rightHip = keyPoints.find { it.bodyPart == BodyPart.RIGHT_HIP }
|
||||
val leftAnkle = keyPoints.find { it.bodyPart == BodyPart.LEFT_ANKLE }
|
||||
val rightAnkle = keyPoints.find { it.bodyPart == BodyPart.RIGHT_ANKLE }
|
||||
|
||||
// 确保所有关键点都存在
|
||||
if (leftShoulder == null || rightShoulder == null || leftElbow == null || rightElbow == null ||
|
||||
leftWrist == null || rightWrist == null || leftHip == null || rightHip == null ||
|
||||
leftAnkle == null || rightAnkle == null) {
|
||||
evaluationMessages.add(EvaluationMessage("关键点缺失，评估可能不准确。", true))
|
||||
return
|
||||
}
|
||||
|
||||
// 计算左右平均关键点，提高稳定性
|
||||
val midShoulder = KeyPoint(
|
||||
BodyPart.NOSE,
|
||||
android.graphics.PointF(
|
||||
(leftShoulder.coordinate.x + rightShoulder.coordinate.x) / 2,
|
||||
(leftShoulder.coordinate.y + rightShoulder.coordinate.y) / 2
|
||||
),
|
||||
(leftShoulder.score + rightShoulder.score) / 2
|
||||
)
|
||||
val midElbow = KeyPoint(
|
||||
BodyPart.NOSE,
|
||||
android.graphics.PointF(
|
||||
(leftElbow.coordinate.x + rightElbow.coordinate.x) / 2,
|
||||
(leftElbow.coordinate.y + rightElbow.coordinate.y) / 2
|
||||
),
|
||||
(leftElbow.score + rightElbow.score) / 2
|
||||
)
|
||||
val midWrist = KeyPoint(
|
||||
BodyPart.NOSE,
|
||||
android.graphics.PointF(
|
||||
(leftWrist.coordinate.x + rightWrist.coordinate.x) / 2,
|
||||
(leftWrist.coordinate.y + rightWrist.coordinate.y) / 2
|
||||
),
|
||||
(leftWrist.score + rightWrist.score) / 2
|
||||
)
|
||||
val midHip = KeyPoint(
|
||||
BodyPart.NOSE,
|
||||
android.graphics.PointF(
|
||||
(leftHip.coordinate.x + rightHip.coordinate.x) / 2,
|
||||
(leftHip.coordinate.y + rightHip.coordinate.y) / 2
|
||||
),
|
||||
(leftHip.score + rightHip.score) / 2
|
||||
)
|
||||
val midAnkle = KeyPoint(
|
||||
BodyPart.NOSE,
|
||||
android.graphics.PointF(
|
||||
(leftAnkle.coordinate.x + rightAnkle.coordinate.x) / 2,
|
||||
(leftAnkle.coordinate.y + rightAnkle.coordinate.y) / 2
|
||||
),
|
||||
(leftAnkle.score + rightAnkle.score) / 2
|
||||
)
|
||||
|
||||
// 计算核心角度
|
||||
val elbowAngle = calculateAngle(midShoulder, midElbow, midWrist) // 肩-肘-腕
|
||||
val bodyLineAngle = calculateAngle(midShoulder, midHip, midAnkle) // 肩-髋-踝
|
||||
|
||||
var frameScore = 0f
|
||||
var frameEvaluation = ""
|
||||
var isBodyStraight = true
|
||||
|
||||
// 检查身体是否呈直线
|
||||
if (bodyLineAngle !in HIP_SHOULDER_ANKLE_MIN..HIP_SHOULDER_ANKLE_MAX) {
|
||||
isBodyStraight = false
|
||||
if (midHip.coordinate.y < midShoulder.coordinate.y) { // 臀部过高
|
||||
evaluationMessages.add(EvaluationMessage("臀部抬得太高了，尝试放低臀部，保持身体呈一条直线。", true))
|
||||
} else if (midHip.coordinate.y > midAnkle.coordinate.y) { // 臀部下沉
|
||||
evaluationMessages.add(EvaluationMessage("臀部下沉了，收紧核心，将臀部向上抬起，保持身体的平直。", true))
|
||||
} else {
|
||||
evaluationMessages.add(EvaluationMessage("身体不够平直，请调整髋部位置。", true))
|
||||
}
|
||||
}
|
||||
|
||||
when (currentState) {
|
||||
PushUpState.START -> {
|
||||
// 评估起始姿态 (手臂伸直，身体呈直线)
|
||||
if (elbowAngle > ELBOW_ANGLE_START_MIN - 10 && isBodyStraight) { // 稍微放宽手臂伸直要求
|
||||
frameEvaluation = "起始姿态良好，手臂基本伸直，身体呈一条直线。"
|
||||
isRepCounting = false
|
||||
currentState = PushUpState.DESCENT
|
||||
frameScore = 200f // 提高分数
|
||||
} else {
|
||||
if (elbowAngle < ELBOW_ANGLE_START_MIN - 10) evaluationMessages.add(EvaluationMessage("手臂未完全伸直，请确保回到起始位置。", true))
|
||||
if (!isBodyStraight) evaluationMessages.add(EvaluationMessage("身体未保持一条直线，请调整核心，不要塌腰或撅臀。", true))
|
||||
frameEvaluation = "请调整至正确起始姿态。"
|
||||
}
|
||||
}
|
||||
PushUpState.DESCENT -> {
|
||||
// 评估下降过程
|
||||
if (elbowAngle < ELBOW_ANGLE_START_MIN - 15) { // 手肘开始弯曲
|
||||
if (isBodyStraight) {
|
||||
frameEvaluation = "下降得很稳，保持身体平直。"
|
||||
currentState = PushUpState.BOTTOM
|
||||
frameScore = 400f // 提高分数
|
||||
} else {
|
||||
evaluationMessages.add(EvaluationMessage("下降时身体不够平直，请调整核心，保持身体直线。", true))
|
||||
frameEvaluation = "下降中，注意保持身体直线。"
|
||||
}
|
||||
} else {
|
||||
frameEvaluation = "继续下降，感受胸部拉伸。"
|
||||
}
|
||||
}
|
||||
PushUpState.BOTTOM -> {
|
||||
// 评估底部姿态 (胸部接近地面，手肘弯曲到位，身体呈直线)
|
||||
if (elbowAngle < ELBOW_ANGLE_BOTTOM_MAX + 10 && isBodyStraight) { // 放宽手肘弯曲
|
||||
frameEvaluation = "底部姿态完美，胸部接近地面！"
|
||||
currentState = PushUpState.ASCENT
|
||||
frameScore = 600f // 提高分数
|
||||
} else {
|
||||
if (elbowAngle > ELBOW_ANGLE_BOTTOM_MAX + 10) evaluationMessages.add(EvaluationMessage("下降不够深，请尝试让胸部更接近地面。", true))
|
||||
if (!isBodyStraight) evaluationMessages.add(EvaluationMessage("底部姿态身体不直，请调整。", true))
|
||||
frameEvaluation = "底部姿态可改进。"
|
||||
}
|
||||
}
|
||||
PushUpState.ASCENT -> {
|
||||
// 评估上推过程
|
||||
if (elbowAngle > ELBOW_ANGLE_BOTTOM_MAX + 15) { // 手肘开始伸直
|
||||
if (isBodyStraight) {
|
||||
frameEvaluation = "上推有力，身体保持平直。"
|
||||
currentState = PushUpState.LOCKOUT
|
||||
frameScore = 400f // 提高分数
|
||||
} else {
|
||||
evaluationMessages.add(EvaluationMessage("上推时身体不够平直，请调整核心，保持身体直线。", true))
|
||||
frameEvaluation = "上推中，注意保持身体直线。"
|
||||
}
|
||||
} else {
|
||||
frameEvaluation = "继续上推，感受胸部和手臂发力。"
|
||||
}
|
||||
}
|
||||
PushUpState.LOCKOUT -> {
|
||||
// 评估完全推起（锁定）姿态
|
||||
if (elbowAngle > ELBOW_ANGLE_START_MIN - 15 && isBodyStraight) { // 稍微放宽手臂伸直要求
|
||||
frameEvaluation = "完美完成一次俯卧撑！手臂基本伸直，身体呈一条直线。"
|
||||
if (!isRepCounting) {
|
||||
repCount++
|
||||
isRepCounting = true
|
||||
evaluationMessages.add(EvaluationMessage("恭喜你，又完成了一次俯卧撑！目前累计完成了 $repCount 次，继续保持！"))
|
||||
}
|
||||
currentState = PushUpState.START // 完成一次后回到起始状态，准备下一次
|
||||
frameScore = 200f // 提高分数
|
||||
} else {
|
||||
if (elbowAngle < ELBOW_ANGLE_START_MIN - 15) evaluationMessages.add(EvaluationMessage("手臂未完全伸直，请确保回到起始位置。", true))
|
||||
if (!isBodyStraight) evaluationMessages.add(EvaluationMessage("锁定姿态身体不直，请调整。", true))
|
||||
frameEvaluation = "请完成锁定：手臂基本伸直，身体保持平直。"
|
||||
}
|
||||
}
|
||||
}
|
||||
totalScore += frameScore
|
||||
evaluationMessages.add(EvaluationMessage(frameEvaluation))
|
||||
}
|
||||
|
||||
override fun getFinalScore(): Float {
|
||||
val rawScore = if (frameCount > 0) totalScore / frameCount else 0f
|
||||
val roundedScore = (rawScore / 10.0f).roundToInt() * 10.0f
|
||||
return roundedScore.coerceIn(0f, 100f)
|
||||
}
|
||||
|
||||
override fun getFinalEvaluation(finalScore: Float): String {
|
||||
val uniqueMessages = evaluationMessages.map { it.message }.distinct().joinToString("\n")
|
||||
val errors = evaluationMessages.filter { it.isError }.map { it.message }.distinct()
|
||||
|
||||
val overallEvaluationBuilder = StringBuilder()
|
||||
|
||||
if (errors.isEmpty()) {
|
||||
when (finalScore.toInt()) {
|
||||
in 90..100 -> overallEvaluationBuilder.append("太棒了！你的俯卧撑动作几乎完美无瑕，姿态标准，力量十足！继续保持！")
|
||||
in 70..89 -> overallEvaluationBuilder.append("非常不错的俯卧撑！动作基本流畅，姿态也比较到位，再稍加注意细节就能更完美！")
|
||||
in 50..69 -> overallEvaluationBuilder.append("俯卧撑动作有进步空间哦！虽然有些地方做得不错，但还需要多练习，让姿态更稳定、发力更集中。")
|
||||
in 30..49 -> overallEvaluationBuilder.append("本次俯卧撑需要更多练习。动作中存在一些明显的姿态问题，这会影响训练效果和安全性。")
|
||||
else -> overallEvaluationBuilder.append("俯卧撑动作仍需大量改进。请务必仔细对照标准，从基础开始练习，避免受伤。")
|
||||
}
|
||||
} else {
|
||||
overallEvaluationBuilder.append("本次俯卧撑分析完成！发现了一些可以改进的地方：\n")
|
||||
overallEvaluationBuilder.append(errors.joinToString("\n"))
|
||||
overallEvaluationBuilder.append("\n总次数：$repCount")
|
||||
}
|
||||
|
||||
overallEvaluationBuilder.append("\n\n以下是本次训练的详细分析过程，希望能帮助你更好地理解和改进：\n")
|
||||
overallEvaluationBuilder.append(uniqueMessages)
|
||||
|
||||
return overallEvaluationBuilder.toString()
|
||||
}
|
||||
}
|
||||
@ -0,0 +1,58 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
xmlns:tools="http://schemas.android.com/tools"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="match_parent"
|
||||
android:background="#1C1C1E"
|
||||
tools:context=".VideoAnalysisActivity">
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_exercise_name"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:layout_centerHorizontal="true"
|
||||
android:layout_marginTop="32dp"
|
||||
android:text="动作名称"
|
||||
android:textColor="#FFFFFF"
|
||||
android:textSize="24sp"
|
||||
android:textStyle="bold" />
|
||||
|
||||
<Button
|
||||
android:id="@+id/btn_select_video"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:layout_centerInParent="true"
|
||||
android:text="选择本地视频"
|
||||
android:textColor="#FFFFFF"
|
||||
android:backgroundTint="#A020F0"
|
||||
android:textSize="18sp"
|
||||
android:paddingStart="24dp"
|
||||
android:paddingEnd="24dp"
|
||||
android:paddingTop="12dp"
|
||||
android:paddingBottom="12dp" />
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_analysis_status"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:layout_below="@id/btn_select_video"
|
||||
android:layout_centerHorizontal="true"
|
||||
android:layout_marginTop="24dp"
|
||||
android:textColor="#CCCCCC"
|
||||
android:textSize="16sp"
|
||||
android:text="请选择视频进行分析..."
|
||||
android:visibility="gone"/>
|
||||
|
||||
<ProgressBar
|
||||
android:id="@+id/progress_bar_analysis"
|
||||
style="?android:attr/progressBarStyleHorizontal"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="wrap_content"
|
||||
android:layout_below="@id/tv_analysis_status"
|
||||
android:layout_marginStart="32dp"
|
||||
android:layout_marginEnd="32dp"
|
||||
android:layout_marginTop="16dp"
|
||||
android:progressTint="#A020F0"
|
||||
android:visibility="gone" />
|
||||
|
||||
</RelativeLayout>
|
||||
@ -0,0 +1,67 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<ScrollView xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
xmlns:tools="http://schemas.android.com/tools"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="match_parent"
|
||||
android:background="#1C1C1E"
|
||||
tools:context=".VideoAnalysisResultActivity">
|
||||
|
||||
<LinearLayout
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="wrap_content"
|
||||
android:orientation="vertical"
|
||||
android:padding="16dp">
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_result_exercise_name"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="动作名称"
|
||||
android:textColor="#FFFFFF"
|
||||
android:textSize="24sp"
|
||||
android:textStyle="bold"
|
||||
android:layout_gravity="center_horizontal"
|
||||
android:layout_marginBottom="16dp"/>
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_result_score_label"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="最终得分: "
|
||||
android:textColor="#CCCCCC"
|
||||
android:textSize="18sp"
|
||||
android:layout_gravity="center_horizontal"
|
||||
android:layout_marginBottom="8dp"/>
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_result_score"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="N/A"
|
||||
android:textColor="#A020F0"
|
||||
android:textSize="36sp"
|
||||
android:textStyle="bold"
|
||||
android:layout_gravity="center_horizontal"
|
||||
android:layout_marginBottom="24dp"/>
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_result_evaluation_label"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="详细评价: "
|
||||
android:textColor="#CCCCCC"
|
||||
android:textSize="18sp"
|
||||
android:layout_marginBottom="8dp"/>
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_result_evaluation"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="分析中..."
|
||||
android:textColor="#FFFFFF"
|
||||
android:textSize="16sp"
|
||||
android:lineSpacingExtra="4dp"/>
|
||||
|
||||
</LinearLayout>
|
||||
|
||||
</ScrollView>
|
||||
@ -1,14 +1,22 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<FrameLayout xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
<androidx.constraintlayout.widget.ConstraintLayout xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
xmlns:app="http://schemas.android.com/apk/res-auto"
|
||||
xmlns:tools="http://schemas.android.com/tools"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="match_parent"
|
||||
android:background="#1C1C1E">
|
||||
android:background="#1C1C1E"
|
||||
tools:context=".DataFragment">
|
||||
|
||||
<TextView
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="数据页面"
|
||||
android:textColor="#FFF"
|
||||
android:textSize="24sp"
|
||||
android:layout_gravity="center"/>
|
||||
</FrameLayout>
|
||||
<androidx.recyclerview.widget.RecyclerView
|
||||
android:id="@+id/recycler_view_video_analysis_results"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="match_parent"
|
||||
android:padding="8dp"
|
||||
android:clipToPadding="false"
|
||||
android:background="#1C1C1E"
|
||||
app:layout_constraintBottom_toBottomOf="parent"
|
||||
app:layout_constraintEnd_toEndOf="parent"
|
||||
app:layout_constraintStart_toStartOf="parent"
|
||||
app:layout_constraintTop_toTopOf="parent" />
|
||||
|
||||
</androidx.constraintlayout.widget.ConstraintLayout>
|
||||
@ -0,0 +1,71 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<androidx.cardview.widget.CardView xmlns:android="http://schemas.android.com/apk/res/android"
|
||||
xmlns:app="http://schemas.android.com/apk/res-auto"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="120dp"
|
||||
android:layout_margin="8dp"
|
||||
app:cardCornerRadius="8dp"
|
||||
app:cardElevation="4dp"
|
||||
app:cardBackgroundColor="#222222">
|
||||
|
||||
<LinearLayout
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="match_parent"
|
||||
android:orientation="horizontal"
|
||||
android:padding="8dp"
|
||||
android:gravity="center_vertical">
|
||||
|
||||
<ImageView
|
||||
android:id="@+id/video_thumbnail"
|
||||
android:layout_width="100dp"
|
||||
android:layout_height="match_parent"
|
||||
android:scaleType="centerCrop"
|
||||
android:src="@drawable/placeholder_image"
|
||||
android:background="#000000"
|
||||
android:contentDescription="视频缩略图"
|
||||
android:clickable="true"
|
||||
android:focusable="true" />
|
||||
|
||||
<LinearLayout
|
||||
android:layout_width="0dp"
|
||||
android:layout_height="wrap_content"
|
||||
android:layout_weight="1"
|
||||
android:orientation="vertical"
|
||||
android:paddingStart="12dp"
|
||||
android:paddingEnd="12dp">
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_exercise_type"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="运动类型：硬拉"
|
||||
android:textColor="#FFFFFF"
|
||||
android:textSize="16sp"
|
||||
android:textStyle="bold" />
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_evaluation"
|
||||
android:layout_width="match_parent"
|
||||
android:layout_height="wrap_content"
|
||||
android:layout_marginTop="4dp"
|
||||
android:maxLines="3"
|
||||
android:ellipsize="end"
|
||||
android:text="评价：动作完成度很高，但下放深度不足。请注意控制节奏。"
|
||||
android:textColor="#AAAAAA"
|
||||
android:textSize="13sp" />
|
||||
|
||||
</LinearLayout>
|
||||
|
||||
<TextView
|
||||
android:id="@+id/tv_score"
|
||||
android:layout_width="wrap_content"
|
||||
android:layout_height="wrap_content"
|
||||
android:text="85 分"
|
||||
android:textColor="#FFBB86FC"
|
||||
android:textSize="28sp"
|
||||
android:textStyle="bold"
|
||||
android:gravity="center_vertical"/>
|
||||
|
||||
</LinearLayout>
|
||||
|
||||
</androidx.cardview.widget.CardView>
|
||||
@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="utf-8"?>
|
||||
<paths xmlns:android="http://schemas.android.com/apk/res/android">
|
||||
<files-path name="my_videos" path="."/>
|
||||
</paths>
|
||||
Loading…
Reference in new issue