AR人体姿态识别，实现无边界的人机交互( 二 ) _生活百科

初始化BodySkeletonDisplay,用来获取骨架数据并将其传递给openGL ES,openGL ES将渲染数据并在屏幕上显示。

Public class BodySkeletonDisplay implements BodyRelatedDisplay{//此类需要几个方法//初始化方法public void init(){}//使用OpenGL更新节点数据并绘制 。Public void onDrawFrame(Collection<ARBody> bodies,float[] projectionMatrix){for (ARBody body : bodies) {if (body.getTrackingState() == ARTrackable.TrackingState.TRACKING) {float coordinate = 1.0f;if (body.getCoordinateSystemType() == ARCoordinateSystemType.COORDINATE_SYSTEM_TYPE_3D_CAMERA) {coordinate = DRAW_COORDINATE;}findValidSkeletonPoints(body);updateBodySkeleton();drawBodySkeleton(coordinate, projectionMatrix);}}}//查找有效骨架点private void findValidSkeletonPoints(ARBody arBody) {int index = 0;int[] isExists;int validPointNum = 0;float[] points;float[] skeletonPoints;if (arBody.getCoordinateSystemType() == ARCoordinateSystemType.COORDINATE_SYSTEM_TYPE_3D_CAMERA) {isExists = arBody.getSkeletonPointIsExist3D();points = new float[isExists.length * 3];skeletonPoints = arBody.getSkeletonPoint3D();} else {isExists = arBody.getSkeletonPointIsExist2D();points = new float[isExists.length * 3];skeletonPoints = arBody.getSkeletonPoint2D();}for (int i = 0; i < isExists.length; i++) {if (isExists[i] != 0) {points[index++] = skeletonPoints[3 * i];points[index++] = skeletonPoints[3 * i + 1];points[index++] = skeletonPoints[3 * i + 2];validPointNum++;}}mSkeletonPoints = FloatBuffer.wrap(points);mPointsNum = validPointNum;}}

获取骨架点连接数据，并将其传递给OpenGL ES以便在屏幕上渲染。

public class BodySkeletonLineDisplay implements BodyRelatedDisplay {//渲染身体骨骼之间的线条 。public void onDrawFrame(Collection<ARBody> bodies, float[] projectionMatrix) {for (ARBody body : bodies) {if (body.getTrackingState() == ARTrackable.TrackingState.TRACKING) {float coordinate = 1.0f;if (body.getCoordinateSystemType() == ARCoordinateSystemType.COORDINATE_SYSTEM_TYPE_3D_CAMERA) {coordinate = COORDINATE_SYSTEM_TYPE_3D_FLAG;}updateBodySkeletonLineData(body);drawSkeletonLine(coordinate, projectionMatrix);}}}}

8.具体实现请参考：AR Engine示例代码-AR Engine | 华为开发者联盟 (huawei.com)
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【AR人体姿态识别，实现无边界的人机交互】