package com.mapuni.ryuan.gesture;import java.util.ArrayList;import android.app.Activity;
import android.content.Intent;
import android.gesture.Gesture;
import android.gesture.GestureLibraries;
import android.gesture.GestureLibrary;
import android.gesture.GestureOverlayView;
import android.gesture.GestureOverlayView.OnGesturePerformedListener;
import android.gesture.Prediction;
import android.net.Uri;
import android.os.Bundle;
import android.widget.Toast;public class GestureActivity extends Activity {private GestureLibrary library;@Overridepublic void onCreate(Bundle savedInstanceState) {super.onCreate(savedInstanceState);setContentView(R.layout.main);GestureOverlayView gestureView = (GestureOverlayView) findViewById(R.id.gestures);gestureView.addOnGesturePerformedListener(new GestureListener());/* 加载手势库 */library = GestureLibraries.fromRawResource(this, R.raw.gestures);library.load();}/*** 手势监听器* @author Administrator**/private final class GestureListener implements OnGesturePerformedListener {@Overridepublic void onGesturePerformed(GestureOverlayView overlay,Gesture gesture) {/** 查找手势库中与用户画的手势库有些相似性的手势集合 并按照相似性度高到低排序，与用户画的图形最相似的手势，放在集合第一个位置*/ArrayList<Prediction> predictions = library.recognize(gesture);if (predictions != null && !predictions.isEmpty()) {// 第0个手势是最匹配的手势Prediction prediction = predictions.get(0);// prediction.score 是相似度,是一个大于0、小于10的双精度数值，1就是10%相似，3就是30%相似度。if (prediction.score > 4) {if ("ok".equals(prediction.name)) {Toast.makeText(getApplicationContext(), "You Said OK", 1).show();} else if ("cancel".equals(prediction.name)) {Toast.makeText(getApplicationContext(), "You Said Cancel", 1).show();/*Uri uri = Uri.parse("tel:10086");Intent intent = new Intent(Intent.ACTION_CALL, uri);startActivity(intent);*/}} else {Toast.makeText(getApplicationContext(), "手势不能识别", 1).show();}}}}/*** 销毁 Activity ,并关闭应用*/@Overrideprotected void onDestroy() {android.os.Process.killProcess(android.os.Process.myPid());super.onDestroy();}}