下述代码摘自Kinect SDK 自带例子;KinectImageView;
先安装Kinect传感器,开发包,搭建环境;网上有;
新建WPF或C#项目;一般使用WPF;用Winform有时候会有些问题;
引用Kinect命名空间;
using Microsoft.Kinect;
private KinectSensor kinectDevice;
定义一个变量,KinectSensor代表传感器对象;
初始化;
if (this.kinectDevice.Status == KinectStatus.Connected)
{
this.kinectDevice.SkeletonStream.Enable();
this.kinectDevice.ColorStream.Enable();
…
this.kinectDevice.Start();
this.KinectDevice.SkeletonFrameReady += KinectDevice_SkeletonFrameReady;
}
KinectStatus,传感器状态枚举;
this.kinectDevice.SkeletonStream.Enable(),使能骨骼跟踪;
this.kinectDevice.Start();启动传感器;
this.KinectDevice.SkeletonFrameReady += KinectDevice_SkeletonFrameReady; 骨骼帧准备好事件;
Kinect的帧率为30帧/秒;Kinect传感器的识别范围为传感器前方大体数米范围的一个立体空间;此空间有X、Y、Z坐标;
站在Kinect传感器前,Kinect识别出人体后,如果开发环境都已配置好;
在程序中引入SkeletonFrameReady事件,将会在此事件中收到骨骼帧;每个骨骼帧包含人体各个关节的坐标;
每秒钟会收到30个骨骼帧,SkeletonFrameReady事件每秒自动触发30次;
基本的手势或人体姿态识别代码大体如下;可以识别手的动作,也可以识别身体其他部位的动作;
做开发的时候经常需要站起来做动作,看上去你和办公室其他人很不一样;
private void KinectDevice_SkeletonFrameReady(object sender, SkeletonFrameReadyEventArgs e){using (SkeletonFrame frame = e.OpenSkeletonFrame()){if (frame != null){frame.CopySkeletonDataTo(this.frameSkeletons);Skeleton skeleton = GetPrimarySkeleton(this.frameSkeletons);if (skeleton != null){Joint head = skeleton.Joints[JointType.Head];Joint leftHand = skeleton.Joints[JointType.HandLeft];Joint leftWrist = skeleton.Joints[JointType.WristLeft];Joint rightHand = skeleton.Joints[JointType.HandRight];Joint rightWrist = skeleton.Joints[JointType.WristRight];Point leftHandPos = GetPosition(leftHand);Point leftWristPos = GetPosition(leftWrist);Point rightHandPos = GetPosition(rightHand);Point rightWristPos = GetPosition(rightWrist);if (rightHandPos.Y < rightWristPos.Y && leftHandPos.Y < leftWristPos.Y){......if (rightHandTarget != null){......}if (leftHandTarget != null && rightHandTarget != null){......}}}}}}
Skeleton skeleton = GetPrimarySkeleton(this.frameSkeletons);
执行完此句将获取到一个骨骼帧数据;里面包含人体各个关节,关节的坐标;
Joint head = skeleton.Joints[JointType.Head];
获取头关节;
Joint leftHand = skeleton.Joints[JointType.HandLeft];
获取左手关节;
Joint leftWrist = skeleton.Joints[JointType.WristLeft];
获取左腕关节;
Joint代表一个关节;
获取关节中的点坐标;
Point leftHandPos = GetPosition(leftHand);
Point leftWristPos = GetPosition(leftWrist);
Point rightHandPos = GetPosition(rightHand);
Point rightWristPos = GetPosition(rightWrist);
private Point GetPosition(Joint hand)
{
Point p = new Point();
DepthImagePoint point = kinectDevice.MapSkeletonPointToDepth(hand.Position, this.kinectDevice.DepthStream.Format);
p.X = (int)((point.X * LayoutRoot.ActualWidth / kinectDevice.DepthStream.FrameWidth));
p.Y = (int)((point.Y * LayoutRoot.ActualHeight / kinectDevice.DepthStream.FrameHeight));
return p;
}
if (rightHandPos.Y < rightWristPos.Y && leftHandPos.Y < leftWristPos.Y)
通过比较关节点坐标来判断;比如右手的X坐标持续增大,则可判为右手进行了右挥或右移;
最基本的原理就是它传关节坐标给你,你根据关节坐标增大减小判断左移右移等;
如果要识别多一些,更进一步可根据关节坐标计算一些三角函数等;
开发还是有一定难度;因为并不是判断一次x坐标增大或减小,就判断人体关节进行了左移或右移;
要在每秒30帧中持续判断,才能判出姿态;
可能有的用词不太准确;凭记忆写的;
手势识别可以翻阅PPT等;有的场合可能不方便用鼠标或键盘操作电脑,离开屏幕远一些,此时一些简单操作可用手势进行;一般大屏比较适用;
体感有多种用途;见此;
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