Initial commit

.gitignore

+.gradle
+/local.properties
+/.idea/workspace.xml
+/.idea/libraries
+.DS_Store
+/build
+/captures
+.idea/
+*.iml
+
+.externalNativeBuild

app/.gitignore

+/build

app/build.gradle

+apply plugin: 'com.android.application'
+
+android {
+    compileSdkVersion 25
+    buildToolsVersion '28.0.3'
+    defaultConfig {
+        applicationId "io.github.introml.activityrecognition"
+        minSdkVersion 21
+        targetSdkVersion 25
+        versionCode 1
+        versionName "1.0"
+        testInstrumentationRunner "android.support.test.runner.AndroidJUnitRunner"
+    }
+    buildTypes {
+        release {
+            minifyEnabled false
+            proguardFiles getDefaultProguardFile('proguard-android.txt'), 'proguard-rules.pro'
+        }
+    }
+    sourceSets {
+        main {
+            jniLibs.srcDirs = ['libs']
+        }
+    }
+}
+
+dependencies {
+    compile fileTree(dir: 'libs', include: ['*.jar'])
+    androidTestCompile('com.android.support.test.espresso:espresso-core:2.2.2', {
+        exclude group: 'com.android.support', module: 'support-annotations'
+    })
+    compile 'com.android.support:appcompat-v7:25.4.0'
+    compile 'com.android.support.constraint:constraint-layout:1.0.2'
+    compile 'org.tensorflow:tensorflow-android:1.12.0'
+    testCompile 'junit:junit:4.12'
+    compile 'org.apache.commons:commons-math3:3.6.1'
+}

app/proguard-rules.pro

+# Add project specific ProGuard rules here.
+# By default, the flags in this file are appended to flags specified
+# in C:\Users\aqib_\AppData\Local\Android\Sdk/tools/proguard/proguard-android.txt
+# You can edit the include path and order by changing the proguardFiles
+# directive in build.gradle.
+#
+# For more details, see
+#   http://developer.android.com/guide/developing/tools/proguard.html
+
+# Add any project specific keep options here:
+
+# If your project uses WebView with JS, uncomment the following
+# and specify the fully qualified class name to the JavaScript interface
+# class:
+#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
+#   public *;
+#}
+
+# Uncomment this to preserve the line number information for
+# debugging stack traces.
+#-keepattributes SourceFile,LineNumberTable
+
+# If you keep the line number information, uncomment this to
+# hide the original source file name.
+#-renamesourcefileattribute SourceFile

app/src/main/AndroidManifest.xml

+<?xml version="1.0" encoding="utf-8"?>
+<manifest xmlns:android="http://schemas.android.com/apk/res/android"
+    package="io.github.introml.activityrecognition">
+
+    <uses-feature android:name="android.hardware.sensor.accelerometer" android:required="true" />
+
+    <application
+        android:allowBackup="true"
+        android:icon="@mipmap/ic_launcher"
+        android:label="@string/app_name"
+        android:roundIcon="@mipmap/ic_launcher_round"
+        android:supportsRtl="true"
+        android:theme="@style/AppTheme">
+        <activity android:name="io.github.introml.activityrecognition.MainActivity">
+            <intent-filter>
+                <action android:name="android.intent.action.MAIN" />
+
+                <category android:name="android.intent.category.LAUNCHER" />
+            </intent-filter>
+
+        </activity>
+
+    </application>
+
+</manifest>
\ No newline at end of file

app/src/main/java/io/github/introml/activityrecognition/MainActivity.java

+// Katru no vērtībam rakstīt failā ar timestamp un pēc tam pārbaudīt, kāda ir atšķirība procesā
+
+// For data export
+// C:\Users\Oskars\Downloads\adb>adb -d shell "run-as com.example.oskars.xyzregister_v2 cat /data/data/com.example.oskars.xyzregister_v2/files/accData.txt" > accData.txt
+
+
+
+package io.github.introml.activityrecognition;
+
+import android.content.Context;
+import android.hardware.Sensor;
+import android.hardware.SensorEvent;
+import android.hardware.SensorEventListener;
+import android.hardware.SensorManager;
+import android.os.Bundle;
+import android.speech.tts.TextToSpeech;
+import android.support.v7.app.AppCompatActivity;
+import android.util.Log;
+import android.view.KeyEvent;
+import android.widget.TextView;
+
+import java.io.IOException;
+import java.io.OutputStreamWriter;
+import java.math.BigDecimal;
+import java.sql.Timestamp;
+import java.text.SimpleDateFormat;
+import java.util.ArrayList;
+import java.util.Date;
+import java.util.List;
+import java.util.Locale;
+//import java.util.Random;
+//import java.util.Timer;
+//import java.util.TimerTask;
+//import org.apache.commons.math3.analysis.polynomials.PolynomialSplineFunction;
+//import org.apache.commons.math3.analysis.interpolation.SplineInterpolator;
+
+public class MainActivity extends AppCompatActivity implements SensorEventListener, TextToSpeech.OnInitListener {
+
+    private static final int N_SAMPLES = 200;
+    private static List<Float> x;
+    private static List<Float> y;
+    private static List<Float> z;
+    private static List<Long> timestamps;
+    private static List<Float> xGyro;
+    private static List<Float> yGyro;
+    private static List<Float> zGyro;
+    private TextView downstairsTextView;
+    private TextView joggingTextView;
+    private TextView sittingTextView;
+    private TextView standingTextView;
+    private TextView upstairsTextView;
+    private TextView walkingTextView;
+
+    private TextView firstTextView;
+    private TextView secondTextView;
+    private TextView thirdTextView;
+    private TextView forthTextView;
+    private TextView fiftTextView;
+    private TextView sixtTextView;
+
+    private TextView xTextView;
+    private TextView yTextView;
+    private TextView zTextView;
+
+    private TextView xGyroTextView;
+    private TextView yGyroTextView;
+    private TextView zGyroTextView;
+
+    private TextView logTextView;
+
+    private static boolean startDataRegister = true;
+
+    private TextToSpeech textToSpeech;
+    private float[] results;
+    private TensorFlowClassifier classifier;
+    private static String filename;
+    private String dataLine;
+    // labels for 6 classes
+    //private String[] labels = {"Downstairs", "Jogging", "Sitting", "Standing", "Upstairs", "Walking"};
+    // labels for 3 classes
+    private String[] labels = {"Downstairs", "Limping", "Standing", "Upstairs", "Walking", "None"};
+    //private String[] labels = {"Downstairs", "Standing", "Walking", "Upstairs", "None", "None"};
+
+    @Override
+    protected void onCreate(Bundle savedInstanceState) {
+        super.onCreate(savedInstanceState);
+        setContentView(R.layout.activity_main);
+
+        x = new ArrayList<>();
+        y = new ArrayList<>();
+        z = new ArrayList<>();
+        timestamps = new ArrayList<>();
+
+        xGyro = new ArrayList<>();
+        yGyro = new ArrayList<>();
+        zGyro = new ArrayList<>();
+
+        downstairsTextView = (TextView) findViewById(R.id.downstairs_prob);
+        joggingTextView = (TextView) findViewById(R.id.jogging_prob);
+        sittingTextView = (TextView) findViewById(R.id.sitting_prob);
+        standingTextView = (TextView) findViewById(R.id.standing_prob);
+        upstairsTextView = (TextView) findViewById(R.id.upstairs_prob);
+        walkingTextView = (TextView) findViewById(R.id.walking_prob);
+
+        firstTextView = (TextView) findViewById(R.id.downstairs_title);
+        secondTextView = (TextView) findViewById(R.id.jogging_title);
+        thirdTextView = (TextView) findViewById(R.id.sitting_title);
+        forthTextView = (TextView) findViewById(R.id.standing_title);
+        fiftTextView = (TextView) findViewById(R.id.upstairs_title);
+        sixtTextView = (TextView) findViewById(R.id.walking_title);
+
+        xTextView = (TextView) findViewById(R.id.x_data);
+        yTextView = (TextView) findViewById(R.id.y_data);
+        zTextView = (TextView) findViewById(R.id.z_data);
+
+        xGyroTextView = (TextView) findViewById(R.id.xGyro_data);
+        yGyroTextView = (TextView) findViewById(R.id.yGyro_data);
+        zGyroTextView = (TextView) findViewById(R.id.zGyro_data);
+
+        logTextView = (TextView) findViewById(R.id.log);
+
+        classifier = new TensorFlowClassifier(getApplicationContext());
+
+        firstTextView.setText(labels[0]);
+        secondTextView.setText(labels[1]);
+        thirdTextView.setText(labels[2]);
+        forthTextView.setText(labels[3]);
+        fiftTextView.setText(labels[4]);
+        sixtTextView.setText(labels[5]);
+
+
+        textToSpeech = new TextToSpeech(this, this);
+        textToSpeech.setLanguage(Locale.US);
+
+        writeToFile(getBaseContext());
+
+
+    }
+
+    @Override
+    public void onInit(int status) {
+//            Timer timer = new Timer();
+//            timer.scheduleAtFixedRate(new TimerTask() {
+//                @Override
+//                public void run() {
+//                    if (results == null || results.length == 0) {
+//                        return;
+//                    }
+//                    float max = -1;
+//                    int idx = -1;
+//                    for (int i = 0; i < results.length; i++) {
+//                        if (results[i] > max) {
+//                            idx = i;
+//                            max = results[i];
+//                        }
+//                    }
+//
+//                    textToSpeech.speak(labels[idx], TextToSpeech.QUEUE_ADD, null, Integer.toString(new Random().nextInt()));
+//                }
+//            }, 2000, 5000);
+    }
+
+    protected void onPause() {
+        getSensorManager().unregisterListener(this);
+        super.onPause();
+    }
+
+    protected void onResume() {
+        super.onResume();
+        getSensorManager().registerListener(this, getSensorManager().getDefaultSensor(Sensor.TYPE_ACCELEROMETER), SensorManager.SENSOR_DELAY_GAME);
+        //getSensorManager().registerListener(this, getSensorManager().getDefaultSensor(Sensor.TYPE_GYROSCOPE), SensorManager.SENSOR_DELAY_GAME);
+    }
+
+//    @Override
+//    public void onSensorChanged(SensorEvent event) {
+//        activityPrediction();
+//        x.add(event.values[0]);
+//        y.add(event.values[1]);
+//        z.add(event.values[2]);
+//    }
+
+    @Override
+    public void onSensorChanged(SensorEvent event) {
+        Sensor sensor = event.sensor;
+        if (sensor.getType() == Sensor.TYPE_ACCELEROMETER) {
+            activityPrediction();
+            x.add(event.values[0]);
+            y.add(event.values[1]);
+            z.add(event.values[2]);
+
+            Timestamp timestamp = new Timestamp(System.currentTimeMillis());
+            dataLine = String.format("%d,%s,%s,%s%n",
+                    timestamp.getTime(), x.get(x.size() - 1), y.get(y.size() - 1), z.get(z.size() - 1));
+            writeToFile(dataLine, getBaseContext());
+
+            timestamps.add(timestamp.getTime());
+
+            xTextView.setText(Float.toString(round(event.values[0], 2)));
+            yTextView.setText(Float.toString(round(event.values[1], 2)));
+            zTextView.setText(Float.toString(round(event.values[2], 2)));
+        }
+//        } else if (sensor.getType() == Sensor.TYPE_GYROSCOPE) {
+//            xGyro.add(event.values[0]);
+//            yGyro.add(event.values[1]);
+//            zGyro.add(event.values[2]);
+//
+//            xGyroTextView.setText(Float.toString(round(event.values[0], 2)));
+//            yGyroTextView.setText(Float.toString(round(event.values[1], 2)));
+//            zGyroTextView.setText(Float.toString(round(event.values[2], 2)));
+//        }
+    }
+
+    @Override
+    public void onAccuracyChanged(Sensor sensor, int i) {
+
+    }
+
+    private void activityPrediction() {
+        if (x.size() == N_SAMPLES && y.size() == N_SAMPLES && z.size() == N_SAMPLES) {
+//            List<Float> gyroData = new ArrayList<>();
+//            gyroData.addAll(xGyro);
+//            gyroData.addAll(yGyro);
+//            gyroData.addAll(zGyro);
+
+            new Thread(new secondThread(x, y, z, timestamps)).start();
+
+//            xGyro.clear();
+//            yGyro.clear();
+//            zGyro.clear();
+        }
+    }
+
+    private float[] toFloatArray(List<Float> list) {
+        int i = 0;
+        float[] array = new float[list.size()];
+
+        for (Float f : list) {
+            array[i++] = (f != null ? f : Float.NaN);
+        }
+        return array;
+    }
+
+    private static float round(float d, int decimalPlace) {
+        BigDecimal bd = new BigDecimal(Float.toString(d));
+        bd = bd.setScale(decimalPlace, BigDecimal.ROUND_HALF_UP);
+        return bd.floatValue();
+    }
+
+    private SensorManager getSensorManager() {
+        return (SensorManager) getSystemService(SENSOR_SERVICE);
+    }
+
+    public void buttonPressed(){
+        if(startDataRegister){
+            logTextView.setText("Writing Started");
+            onResume();
+        }
+        else {
+            logTextView.setText("Writing Ended");
+            onPause();
+        }
+        startDataRegister = !startDataRegister;
+    }
+
+    @Override
+    public boolean onKeyDown(int keyCode, KeyEvent event) {
+
+        if ((String.valueOf(keyCode)).equals("127") || (String.valueOf(keyCode)).equals("126")){
+            buttonPressed();
+        }
+
+        return super.onKeyDown(keyCode, event);
+    }
+
+    private void writeToFile(String data,Context context) {
+        try {
+            Date date = new Date() ;
+            SimpleDateFormat dateFormat = new SimpleDateFormat("MM-dd") ;
+            filename = "accData-" + dateFormat.format(date) + ".txt";
+
+            OutputStreamWriter outputStreamWriter = new OutputStreamWriter(context.openFileOutput(filename, Context.MODE_APPEND));
+            outputStreamWriter.write(data);
+            outputStreamWriter.close();
+
+            //logTextView.setText("File (" + filename + ") updated");
+        }
+        catch (IOException e) {
+            Log.e("Exception", "File write failed: " + e.toString());
+        }
+    }
+
+    //Šī funkcija ir lai notīrītu failu
+    private void writeToFile(Context context) {
+        try {
+            Date date = new Date() ;
+            SimpleDateFormat dateFormat = new SimpleDateFormat("MM-dd") ;
+            filename = "accData-" + dateFormat.format(date) + ".txt";
+
+            OutputStreamWriter outputStreamWriter = new OutputStreamWriter(context.openFileOutput(filename, Context.MODE_PRIVATE));
+            outputStreamWriter.write("");
+            outputStreamWriter.close();
+
+            logTextView.setText("File (" + filename + ") cleaned");
+        }
+        catch (IOException e) {
+            Log.e("Exception", "File write failed: " + e.toString());
+        }
+    }
+
+    class secondThread implements Runnable {
+        List<Float> data = new ArrayList<>();
+        private List<Float> x;
+        private List<Float> y;
+        private List<Float> z;
+        private List<Long> timestamps;
+        public secondThread(List<Float> x, List<Float> y, List<Float> z, List<Long> timestamps) {
+            this.x = x;
+            this.y = y;
+            this.z = z;
+            this.timestamps = timestamps;
+            //interpolateLists(timestamps, x);
+            data.addAll(x);
+            data.addAll(y);
+            data.addAll(z);
+        }
+
+        @Override
+        public void run() {
+            List<Float> new_data = new ArrayList<>();
+            for (int j = 0; j < 200; j++) {
+                new_data.add(data.get(j));
+                new_data.add(data.get(200+j));
+                new_data.add(data.get(400+j));
+            }
+
+            results = classifier.predictProbabilities(toFloatArray(new_data));
+
+            timestamps.clear();
+            x.clear();
+            y.clear();
+            z.clear();
+
+            float max = -1;
+            int idx = -1;
+            for (int i = 0; i < results.length; i++) {
+                if (results[i] > max) {
+                    idx = i;
+                    max = results[i];
+                }
+            }
+
+            textToSpeech.speak(labels[idx], TextToSpeech.QUEUE_ADD, null, null);
+
+
+            runOnUiThread(new Runnable() {
+                @Override
+                public void run() {
+                    Date date = new Date() ;
+                    SimpleDateFormat dateFormat = new SimpleDateFormat("mm-ss") ;
+
+                    downstairsTextView.setText(Float.toString(round(results[0], 2)));
+                    joggingTextView.setText(Float.toString(round(results[1], 2)));
+                    sittingTextView.setText(Float.toString(round(results[2], 2)));
+                    standingTextView.setText(Float.toString(round(results[3], 2)));
+                    upstairsTextView.setText(Float.toString(round(results[4], 2)));
+                    walkingTextView.setText(Float.toString(round(results[5], 2)));
+
+                    logTextView.setText(dateFormat.format(date));
+                }
+            });
+
+        }
+
+        private void interpolateLists(List<Long> timestamps, List<Float> x){
+            List<Long> timeList;
+            List<Float> valueList;
+            timeList = timestamps;
+            valueList = x;
+            List<Double> doubleTime = null;
+            List<Double> doubleValue = null;
+
+            for (Long i : timeList) {
+                doubleTime.add(i.doubleValue());
+            }
+
+            for (Float i : valueList) {
+                doubleValue.add(i.doubleValue());
+            }
+
+            for (int i = 0; i < timeList.size(); i++) {
+                Log.i(String.valueOf(i), "Time: " + String.valueOf(timeList.get(i)) + " X value:" + String.valueOf(valueList.get(i)));
+            }
+        }
+    }
+
+
+}

app/src/main/java/io/github/introml/activityrecognition/TensorFlowClassifier.java

+package io.github.introml.activityrecognition;
+
+import android.content.Context;
+
+import org.tensorflow.contrib.android.TensorFlowInferenceInterface;
+
+
+public class TensorFlowClassifier {
+    static {
+        System.loadLibrary("tensorflow_inference");
+    }
+
+    private TensorFlowInferenceInterface inferenceInterface;
+    private static final String MODEL_FILE = "file:///android_asset/workindData_w34_w35_wklibo.pb";
+//    private static final String MODEL_FILE = "file:///android_asset/frozen_har.pb";
+    //private static final String INPUT_NODE = "conv1d_1_input";
+    private static final String INPUT_NODE = "conv1d_1_input";
+    private static final String[] OUTPUT_NODES = {"dense_3/Softmax"};
+    private static final String OUTPUT_NODE = "dense_3/Softmax";
+    private static final long[] INPUT_SIZE = {1, 200, 3};
+    private static final int OUTPUT_SIZE = 6;
+
+    public TensorFlowClassifier(final Context context) {
+        inferenceInterface = new TensorFlowInferenceInterface(context.getAssets(), MODEL_FILE);
+    }
+
+    public float[] predictProbabilities(float[] data) {
+        float[] result = new float[OUTPUT_SIZE];
+        inferenceInterface.feed(INPUT_NODE, data, INPUT_SIZE);
+        inferenceInterface.run(OUTPUT_NODES);
+        inferenceInterface.fetch(OUTPUT_NODE, result);
+
+        //Downstairs	Jogging	  Sitting	Standing	Upstairs	Walking
+        return result;
+    }
+}

app/src/main/res/layout/activity_main.xml

+<?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">
+
+    <TableLayout xmlns:android="http://schemas.android.com/apk/res/android"
+        android:layout_width="match_parent"
+        android:layout_height="wrap_content"
+        android:background="#ededed"
+        android:padding="22dp"
+        tools:context="io.github.introml.activityrecognition.MainActivity">
+
+        <TableRow
+            android:id="@+id/title_row"
+            android:layout_width="match_parent"
+            android:layout_height="match_parent"
+            android:padding="22dp"
+            android:textAlignment="center">
+
+            <TextView
+                android:id="@+id/title"
+                android:layout_weight="1"
+                android:text="@string/activity"