android活体检测张嘴眨眼代码

要实现Android端的活体检测，您可以使用OpenCV库。以下是一个简单的示例代码，用于检测用户是否张嘴或眨眼：

public class MainActivity extends AppCompatActivity implements CameraBridgeViewBase.CvCameraViewListener2 {

    private CameraBridgeViewBase mOpenCvCameraView;
    private CascadeClassifier mFaceDetector;
    private CascadeClassifier mEyeDetector;

    private Mat mGray;
    private int mAbsoluteFaceSize = 0;
    private float mRelativeFaceSize = 0.2f;
    private boolean mIsMouthOpen = false;
    private boolean mAreEyesClosed = false;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_main);

        mOpenCvCameraView = findViewById(R.id.camera_view);
        mOpenCvCameraView.setCvCameraViewListener(this);
        mOpenCvCameraView.enableView();

        // Load cascade classifiers for face and eye detection
        mFaceDetector = new CascadeClassifier();
        mEyeDetector = new CascadeClassifier();
        mFaceDetector.load(getFilePath("haarcascade_frontalface_default.xml"));
        mEyeDetector.load(getFilePath("haarcascade_eye.xml"));
    }

    @Override
    public void onCameraViewStarted(int width, int height) {
        mGray = new Mat();
    }

    @Override
    public void onCameraViewStopped() {
        mGray.release();
    }

    @Override
    public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
        Mat rgba = inputFrame.rgba();

        // Convert to grayscale
        Imgproc.cvtColor(rgba, mGray, Imgproc.COLOR_RGBA2GRAY);

        // Calculate absolute face size
        if (mAbsoluteFaceSize == 0) {
            int height = mGray.rows();
            if (Math.round(height * mRelativeFaceSize) > 0) {
                mAbsoluteFaceSize = Math.round(height * mRelativeFaceSize);
            }
        }

        // Detect faces
        MatOfRect faces = new MatOfRect();
        mFaceDetector.detectMultiScale(mGray, faces, 1.1, 2, 0 | Objdetect.CASCADE_SCALE_IMAGE, new Size(mAbsoluteFaceSize, mAbsoluteFaceSize), new Size());

        // Iterate over detected faces
        for (Rect face : faces.toArray()) {
            // Draw rectangle around face
            Imgproc.rectangle(rgba, face.tl(), face.br(), new Scalar(0, 255, 0), 3);

            // Detect eyes within face
            Mat faceROI = mGray.submat(face);
            MatOfRect eyes = new MatOfRect();
            mEyeDetector.detectMultiScale(faceROI, eyes);

            // Iterate over detected eyes
            for (Rect eye : eyes.toArray()) {
                Point center = new Point(face.x + eye.x + eye.width * 0.5, face.y + eye.y + eye.height * 0.5);
                int radius = (int) Math.round((eye.width + eye.height) * 0.25);
                Imgproc.circle(rgba, center, radius, new Scalar(255, 0, 0), 2);
            }

            // Detect mouth within face
            Rect mouthRect = new Rect(face.x, face.y + face.height / 2, face.width, face.height / 2);
            Mat mouthROI = mGray.submat(mouthRect);

            // Calculate mouth aspect ratio
            double mouthAspectRatio = calculateMouthAspectRatio(mouthROI);

            // Check if mouth is open
            if (mouthAspectRatio > 0.5) {
                mIsMouthOpen = true;
            } else {
                mIsMouthOpen = false;
            }

            // Check if eyes are closed
            if (eyes.toArray().length < 2) {
                mAreEyesClosed = true;
            } else {
                mAreEyesClosed = false;
            }
        }

        return rgba;
    }

    private double calculateMouthAspectRatio(Mat mouthROI) {
        // Convert to binary image using Otsu's thresholding
        Mat binary = new Mat();
        Imgproc.threshold(mouthROI, binary, 0, 255, Imgproc.THRESH_BINARY | Imgproc.THRESH_OTSU);

        // Find contours
        List<MatOfPoint> contours = new ArrayList<>();
        Mat hierarchy = new Mat();
        Imgproc.findContours(binary, contours, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);

        // Find largest contour
        double maxArea = 0;
        MatOfPoint largestContour = null;
        for (MatOfPoint contour : contours) {
            double area = Imgproc.contourArea(contour);
            if (area > maxArea) {
                maxArea = area;
                largestContour = contour;
            }
        }

        // Calculate aspect ratio
        if (largestContour != null) {
            Rect boundingRect = Imgproc.boundingRect(largestContour);
            double aspectRatio = (double) boundingRect.width / boundingRect.height;
            return aspectRatio;
        } else {
            return 0;
        }
    }

    private String getFilePath(String fileName) {
        File cascadeDir = getDir("cascade", Context.MODE_PRIVATE);
        File cascadeFile = new File(cascadeDir, fileName);
        try {
            InputStream is = getResources().openRawResource(R.raw.haarcascade_frontalface_default);
            FileOutputStream os = new FileOutputStream(cascadeFile);
            byte[] buffer = new byte[4096];
            int bytesRead;
            while ((bytesRead = is.read(buffer)) != -1) {
                os.write(buffer, 0, bytesRead);
            }
            is.close();
            os.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
        return cascadeFile.getAbsolutePath();
    }
}

这个示例代码使用了OpenCV库中的级联分类器（Cascade Classifier）来检测人脸和眼睛，以及计算嘴巴的宽高比（Mouth Aspect Ratio）来判断用户是否张嘴。如果您想要完整的活体检测功能，可能需要更复杂的算法和技术。