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Android计步功能的实现代码

2019-12-12 03:23:59
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本文对原文计步项目进行了精简,移除了进程服务和计时、守护进程、数据库保存等等,方便扩展功能。

Android4.4以上版本,有些手机有计步传感器可以直接使用, 而有些手机没有,但有加速度传感器,也可以实现计步功能(需要计算加速度波峰波谷来判断人走一步)!

一.使用

public class MainActivity extends AppCompatActivity implements StepCallBack{ ......... @Override public void Step(int stepNum) {  // 计步回调  stepText.setText("步数:" + stepNum); } @Override protected void onCreate(Bundle savedInstanceState) {  super.onCreate(savedInstanceState);    setContentView(R.layout.activity_main);  stepText = (TextView) findViewById(R.id.step_text);  // 开启计步监听, 分为加速度传感器、或计步传感器  stepSensor = new StepSensorPedometer(this, this);  if (!stepSensor.registerStep()) {   Toast.makeText(this, "计步传传感器不可用!", Toast.LENGTH_SHORT).show();   stepSensor = new StepSensorAcceleration(this, this);   if (!stepSensor.registerStep()) {    Toast.makeText(this, "加速度传感器不可用!", Toast.LENGTH_SHORT).show();   }  } } ....... }

二.计步传感器抽象类

/** * 计步传感器抽象类, 子类分为加速度传感器、或计步传感器 */public abstract class StepSensorBase implements SensorEventListener { private Context context; public StepCallBack stepCallBack; public SensorManager sensorManager; public static int CURRENT_SETP = 0; public boolean isAvailable = false; public StepSensorBase(Context context, StepCallBack stepCallBack) {  this.context = context;  this.stepCallBack = stepCallBack; } /**  * 开启计步  */ public boolean registerStep() {  if (sensorManager != null) {   sensorManager.unregisterListener(this);   sensorManager = null;  }  sensorManager = (SensorManager) context.getSystemService(Context.SENSOR_SERVICE);  registerStepListener();  return isAvailable; } /**  * 注册计步监听器  */ protected abstract void registerStepListener(); /**  * 注销计步监听器  */ public abstract void unregisterStep();}

三.直接使用计步传感器

/** * 计步传感器 */public class StepSensorPedometer extends StepSensorBase { private final String TAG = "StepSensorPedometer"; private int lastStep = -1; private int liveStep = 0; private int increment = 0; private int sensorMode = 0; // 计步传感器类型 public StepSensorPedometer(Context context, StepCallBack stepCallBack) {  super(context, stepCallBack); } @Override protected void registerStepListener() {  Sensor detectorSensor = sensorManager.getDefaultSensor(Sensor.TYPE_STEP_DETECTOR);  Sensor countSensor = sensorManager.getDefaultSensor(Sensor.TYPE_STEP_COUNTER);  if (sensorManager.registerListener(this, detectorSensor, SensorManager.SENSOR_DELAY_UI)) {   isAvailable = true;   sensorMode = 0;   Log.i(TAG, "计步传感器Detector可用!");  } else if (sensorManager.registerListener(this, countSensor, SensorManager.SENSOR_DELAY_UI)) {   isAvailable = true;   sensorMode = 1;   Log.i(TAG, "计步传感器Counter可用!");  } else {   isAvailable = false;   Log.i(TAG, "计步传感器不可用!");  } } @Override public void unregisterStep() {  sensorManager.unregisterListener(this); } @Override public void onSensorChanged(SensorEvent event) {  liveStep = (int) event.values[0];  if (sensorMode == 0) {   StepSensorBase.CURRENT_SETP += liveStep;  } else if (sensorMode == 1) {   StepSensorBase.CURRENT_SETP = liveStep;  }  stepCallBack.Step(StepSensorBase.CURRENT_SETP); } @Override public void onAccuracyChanged(Sensor sensor, int accuracy) { }}

三.使用加速度传感器实现计步功能

public class StepSensorAcceleration extends StepSensorBase { private final String TAG = "StepSensorAcceleration"; //存放三轴数据 final int valueNum = 5; //用于存放计算阈值的波峰波谷差值 float[] tempValue = new float[valueNum]; int tempCount = 0; //是否上升的标志位 boolean isDirectionUp = false; //持续上升次数 int continueUpCount = 0; //上一点的持续上升的次数,为了记录波峰的上升次数 int continueUpFormerCount = 0; //上一点的状态,上升还是下降 boolean lastStatus = false; //波峰值 float peakOfWave = 0; //波谷值 float valleyOfWave = 0; //此次波峰的时间 long timeOfThisPeak = 0; //上次波峰的时间 long timeOfLastPeak = 0; //当前的时间 long timeOfNow = 0; //当前传感器的值 float gravityNew = 0; //上次传感器的值 float gravityOld = 0; //动态阈值需要动态的数据,这个值用于这些动态数据的阈值 final float initialValue = (float) 1.7; //初始阈值 float ThreadValue = (float) 2.0; //初始范围 float minValue = 11f; float maxValue = 19.6f; /**  * 0-准备计时 1-计时中 2-正常计步中  */ private int CountTimeState = 0; public static int TEMP_STEP = 0; private int lastStep = -1; //用x、y、z轴三个维度算出的平均值 public static float average = 0; private Timer timer; // 倒计时3.5秒,3.5秒内不会显示计步,用于屏蔽细微波动 private long duration = 3500; private TimeCount time; public StepSensorAcceleration(Context context, StepCallBack stepCallBack) {  super(context, stepCallBack); } @Override protected void registerStepListener() {  // 注册加速度传感器  isAvailable = sensorManager.registerListener(this,    sensorManager.getDefaultSensor(Sensor.TYPE_ACCELEROMETER),    SensorManager.SENSOR_DELAY_UI);  if (isAvailable) {   Log.i(TAG, "加速度传感器可用!");  } else {   Log.i(TAG, "加速度传感器不可用!");  } } @Override public void unregisterStep() {  sensorManager.unregisterListener(this); } public void onAccuracyChanged(Sensor arg0, int arg1) { } public void onSensorChanged(SensorEvent event) {  Sensor sensor = event.sensor;  synchronized (this) {   if (sensor.getType() == Sensor.TYPE_ACCELEROMETER) {    calc_step(event);   }  } } synchronized private void calc_step(SensorEvent event) {  average = (float) Math.sqrt(Math.pow(event.values[0], 2)    + Math.pow(event.values[1], 2) + Math.pow(event.values[2], 2));  detectorNewStep(average); } /*  * 检测步子,并开始计步  * 1.传入sersor中的数据  * 2.如果检测到了波峰,并且符合时间差以及阈值的条件,则判定为1步  * 3.符合时间差条件,波峰波谷差值大于initialValue,则将该差值纳入阈值的计算中  * */ public void detectorNewStep(float values) {  if (gravityOld == 0) {   gravityOld = values;  } else {   if (DetectorPeak(values, gravityOld)) {    timeOfLastPeak = timeOfThisPeak;    timeOfNow = System.currentTimeMillis();    if (timeOfNow - timeOfLastPeak >= 200      && (peakOfWave - valleyOfWave >= ThreadValue) && (timeOfNow - timeOfLastPeak) <= 2000) {     timeOfThisPeak = timeOfNow;     //更新界面的处理,不涉及到算法     preStep();    }    if (timeOfNow - timeOfLastPeak >= 200      && (peakOfWave - valleyOfWave >= initialValue)) {     timeOfThisPeak = timeOfNow;     ThreadValue = Peak_Valley_Thread(peakOfWave - valleyOfWave);    }   }  }  gravityOld = values; } private void preStep() {//  if (CountTimeState == 0) {//   // 开启计时器//   time = new TimeCount(duration, 700);//   time.start();//   CountTimeState = 1;//   Log.v(TAG, "开启计时器");//  } else if (CountTimeState == 1) {//   TEMP_STEP++;//   Log.v(TAG, "计步中 TEMP_STEP:" + TEMP_STEP);//  } else if (CountTimeState == 2) {  CURRENT_SETP++;//   if (stepCallBack != null) {  stepCallBack.Step(CURRENT_SETP);//   }//  } } /*  * 检测波峰  * 以下四个条件判断为波峰:  * 1.目前点为下降的趋势:isDirectionUp为false  * 2.之前的点为上升的趋势:lastStatus为true  * 3.到波峰为止,持续上升大于等于2次  * 4.波峰值大于1.2g,小于2g  * 记录波谷值  * 1.观察波形图,可以发现在出现步子的地方,波谷的下一个就是波峰,有比较明显的特征以及差值  * 2.所以要记录每次的波谷值,为了和下次的波峰做对比  * */ public boolean DetectorPeak(float newValue, float oldValue) {  lastStatus = isDirectionUp;  if (newValue >= oldValue) {   isDirectionUp = true;   continueUpCount++;  } else {   continueUpFormerCount = continueUpCount;   continueUpCount = 0;   isDirectionUp = false;  }//  Log.v(TAG, "oldValue:" + oldValue);  if (!isDirectionUp && lastStatus    && (continueUpFormerCount >= 2 && (oldValue >= minValue && oldValue < maxValue))) {   peakOfWave = oldValue;   return true;  } else if (!lastStatus && isDirectionUp) {   valleyOfWave = oldValue;   return false;  } else {   return false;  } } /*  * 阈值的计算  * 1.通过波峰波谷的差值计算阈值  * 2.记录4个值,存入tempValue[]数组中  * 3.在将数组传入函数averageValue中计算阈值  * */ public float Peak_Valley_Thread(float value) {  float tempThread = ThreadValue;  if (tempCount < valueNum) {   tempValue[tempCount] = value;   tempCount++;  } else {   tempThread = averageValue(tempValue, valueNum);   for (int i = 1; i < valueNum; i++) {    tempValue[i - 1] = tempValue[i];   }   tempValue[valueNum - 1] = value;  }  return tempThread; } /*  * 梯度化阈值  * 1.计算数组的均值  * 2.通过均值将阈值梯度化在一个范围里  * */ public float averageValue(float value[], int n) {  float ave = 0;  for (int i = 0; i < n; i++) {   ave += value[i];  }  ave = ave / valueNum;  if (ave >= 8) {//   Log.v(TAG, "超过8");   ave = (float) 4.3;  } else if (ave >= 7 && ave < 8) {//   Log.v(TAG, "7-8");   ave = (float) 3.3;  } else if (ave >= 4 && ave < 7) {//   Log.v(TAG, "4-7");   ave = (float) 2.3;  } else if (ave >= 3 && ave < 4) {//   Log.v(TAG, "3-4");   ave = (float) 2.0;  } else {//   Log.v(TAG, "else");   ave = (float) 1.7;  }  return ave; } class TimeCount extends CountDownTimer {  public TimeCount(long millisInFuture, long countDownInterval) {   super(millisInFuture, countDownInterval);  }  @Override  public void onFinish() {   // 如果计时器正常结束,则开始计步   time.cancel();   CURRENT_SETP += TEMP_STEP;   lastStep = -1;   Log.v(TAG, "计时正常结束");   timer = new Timer(true);   TimerTask task = new TimerTask() {    public void run() {     if (lastStep == CURRENT_SETP) {      timer.cancel();      CountTimeState = 0;      lastStep = -1;      TEMP_STEP = 0;      Log.v(TAG, "停止计步:" + CURRENT_SETP);     } else {      lastStep = CURRENT_SETP;     }    }   };   timer.schedule(task, 0, 2000);   CountTimeState = 2;  }  @Override  public void onTick(long millisUntilFinished) {   if (lastStep == TEMP_STEP) {    Log.v(TAG, "onTick 计时停止:" + TEMP_STEP);    time.cancel();    CountTimeState = 0;    lastStep = -1;    TEMP_STEP = 0;   } else {    lastStep = TEMP_STEP;   }  } }}

本文源码:StepOrient_jb51.rar

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