This tool can record all the data coming into an application from a Kinect unit. You can then view, review and store the data. Kinect Studio lets you inject the captured data streams back into a Kinect-enabled application, allowing you to test your code without getting out of your chair (although it might be healthier to make developers get up and move). If you’re working on a project in a distributed team, you can easily share data files with team members, enabling consistent testing across the team.

To begin, open the solution for the Kinect application and start it in debug.

While the application is running, start Kinect Studio. As shown in Figure 1, Kinect Studio has four windows: a main window and Color Viewer, Depth Viewer and 3D Viewer windows. The main window shows a timeline as well as the controls used in Kinect Studio. In the Color Viewer window, you can see the couch in my living room. The Depth Viewer window uses color to represent the distance that an object or a person is from the Kinect unit. Red indicates a distance closer to the Kinect unit, and blue represents a distance farther from it. Using color to represent distance provides a visual indication of the distance. In the 3D Viewer window in Figure 1, notice that the view is slightly rotated with respect to the images in the Color Viewer and the Depth Viewer.

 


Capturing Kinect Data

When Kinect Studio is first started, the Connect to a Kinect App & Sensor dialog box shown in Figure 2opens.

In this dialog box, you specify which Kinect-enabled application you want to connect to. Connecting to an application enables Kinect Studio to capture the data coming into that application from the Kinect unit. Based on the windows available, Kinect Studio captures the data feeds from the color stream and the depth stream. With the application running and Kinect Studio connected, you can now capture the data. In the Kinect Studio main window, click the Record button (or press Ctrl+R) to begin collecting data. Next, have the test subject move through the scenario you want to test. When the scenario is complete, click the Stop button (or press Shift+F5). Kinect Studio then stores the data in memory. Once Kinect Studio is done processing the data, the timeline on the main window populates, as do the Color Viewer, Depth Viewer and 3D Viewer windows, as shown in Figure 3.

By moving the cursor along the timeline, you can see the content relative to the timeline selection. Typical of most video editing software, sections of the timeline can be selected and saved as a separate file so you can use just the parts you want. The file saved is an .xed file. All the collected data is now contained in the file, enabling you to replay it whenever you want or distribute it to the rest of your team.

Notice that there isn’t a Skeleton Viewer. Kinect Studio doesn’t capture skeleton data (collection of joints) because that data is evaluated at run time based on the depth and color views. Capturing a skeleton view would defeat the purpose of recording the data for testing. In other words, the intrinsic data comes from the depth and color sensors. The skeleton data is the product of the Kinect for Windows software analyzing this data. Therefore, the runtime is going to re-evaluate the skeleton data from the depth and color data being injected back into the Kinect-enabled application under development just as though a user were in front of the Kinect unit providing live interaction.

Now let’s see just how useful this tool is. While the Kinect-enabled application is running, open Kinect Studio, connect to the application and open the .xed file you previously saved. When you click the Play button (or press F5), Kinect Studio injects the data saved in the .xed file into the Kinect-enabled application, simulating the user (or users). The application in development reacts to the .xed feed as though the user were actually doing the actions in front of the Kinect in real time. In addition to relieving you from having to hop in front of the Kinect unit every time you want to test a change you make to your application to test it, this capability lets you test the application for different-sized users.


Capabilities of Kinect Studio

Let’s look at some of the other features Kinect Studio offers. While using the timeline to set the image where desired, the Color Viewer window shows a color image of the resolution that you enabled for the color stream from the Kinect. You can right-click on the image and select “Save image as” to save the still image as a bitmap.

The Depth Viewer also has a useful utility. To use it, pause the video at a specific point and then move the mouse pointer across the image. At the bottom of the Depth Viewer window, notice the data points that are displayed. First, the frame number indicates the frame number being displayed. Next, the x,y coordinates relative to the image being displayed are shown. Finally, and most interesting, the distance in millimeters from the Kinect to the object or person that the mouse pointer is “touching” is given. Let’s look at an example to understand this information a little better. I asked my daughters (Kenzy and Sherrie) to help me with this demonstration. I used Kinect Studio to capture them doing a routine that involved moving their arms and legs. Figure 4 shows how they were positioned: Kenzy is slightly behind but to the side of Sherrie.

In the image on the left, the mouse is on the point x=178, y=304. The depth is 2187 millimeters (mm). So this point (which corresponds to the “girl in red” [Sherrie]) is 2187 mm from the Kinect unit. The image on the right shows the mouse on the point x=326, y=304, with a depth of 2639 mm. So this point (which corresponds to the “girl in orange” [Kenzy]) is 2639 mm from the Kinect unit. Another way to interpret this data is to say that Kenzy is 452 mm behind Sherrie. The Kinect depth sensor provides this data and is one of the features that makes Kinect extremely powerful.

We have had the ability to capture data from webcams and similar hardware for many years. Kinect gives us the ability to capture the distance of objects in a relatively inexpensive package. By combining these data streams, we can create applications that “understand” not only the imagery being presented but also the three-dimensional aspects of the scene. Think about when relational databases first became commonplace. The ability to relate two seemingly disparate pieces of data via a defined relationship revolutionized the way applications work and the capabilities they can offer. Similarly, using Kinect, we can now draw far more value from the scene in front of the Kinect and can relate objects through analysis of imagery as well as actual distances.

Let’s take another look at Figure 4 from the perspective of developing an application that wants to know which user is closest to the screen in order to select the main player, for example. If all I had to work with was a color image of two children, it would be difficult to ascertain which child was standing closer to the screen. In fact, I would probably have to use some other means of determining which child was the main player, such as having the player highlight and select the shape of her body outline. Using the depth data, however, I no longer need to have these artificial mechanisms for determining what is obvious based on the physical layout. With Kinect, we’re a step closer to ubiquitous computing because the application is able to infer information by evaluating the user’s situation without requiring direct, artificial interaction (such as clicking the mouse or typing on a keyboard). The user simply behaves naturally. That’s the real power of programming Kinect-enabled applications. Developers can build applications for average businesses and households that allow users to be themselves. Or as Microsoft puts it, “You are the controller.” Without the depth data, this would not be feasible.

For me, the 3D Viewer window is the coolest feature of Kinect Studio. Again, using the timeline to set the point in time that you want to view, the image in the 3D Viewer represents a 3D model of a scene rendered by combining the depth and color data, as shown in Figure 5.

Kinect 开发 —— Kinect studio的更多相关文章

  1. Kinect 开发 —— Kinect Interaction 交互控件

    Kinect Interactions 提供了一些新的带有姿势识别的控件如 push-to-press 按钮, grip-to-pan 列表控件, 而且支持多用户,同时二个人进行的交互,这些新添加的控 ...

  2. Kinect 开发 —— Kinect for windows SDK

    开发 —— 基本的SDK和Windows 编程技巧(彩色图像视频流,深度图像视频流的采集,骨骼跟踪,音频处理,语音识别API) 深度数据,就是Kinect的精髓和灵魂,很多问题都转换为深度图像的模式识 ...

  3. Kinect开发资源汇总

    Kinect开发资源汇总   转自: http://www.sigvc.org/bbs/forum.php?mod=viewthread&tid=254&highlight=kinec ...

  4. Kinect开发学习笔记之(一)Kinect介绍和应用

    Kinect开发学习笔记之(一)Kinect介绍和应用 zouxy09@qq.com http://blog.csdn.net/zouxy09 一.Kinect简单介绍 Kinectfor Xbox ...

  5. Kinect开发笔记之二Kinect for Windows 2.0新功能

    这是本博客翻译文档的第一篇文章.笔者已经苦逼的竭尽全力的在翻译了.但无奈英语水平也是非常有限.不正确或者不妥当不准确的地方必定会有,还恳请大家留言或者邮件我以批评指正.我会虚心接受. 谢谢大家.   ...

  6. Kinect 开发 —— 杂一

    Kinect 提供了非托管(C++)和托管(.NET)两种开发方式的SDK,如果您用C++开发的话,需要安装Speech Runtime(V11),Kinect for Windows Runtime ...

  7. Kinect 开发 —— 全息图

    Kinect的另一个有趣的应用是伪全息图(pseudo-hologram).3D图像可以根据人物在Kinect前面的各种位置进行倾斜和移动.如果方法够好,可以营造出3D控件中3D图像的效果,这样可以用 ...

  8. Kinect 开发 —— 进阶指引(上)

    本文将会介绍一些第三方类库如何来帮助处理Kinect传感器提供的数据.使用不同的技术进行Kinect开发,可以发掘出Kinect应用的强大功能.另一方面如果不使用这些为了特定处理目的而开发的一些类库, ...

  9. Kinect开发笔记之三Kinect开发环境配置具体解释

            0.前言:        首先说一下我的开发环境,Visual Studio是2013的,系统是win8的64位版本号,SDK是Kinect for windows SDK 1.8版本 ...

随机推荐

  1. Bootstrap-FileInput组件的简单Demo

    官网: https://github.com/kartik-v/bootstrap-fileinput/ http://plugins.krajee.com/file-input   HTML页面: ...

  2. Linux环境下源码安装PostgreSQL

    1.下载PostgreSQL源码包,并保存到Linux操作系统的一个目录下 2.解压PostgreSQL源码包 :tar zxvf postgresql-9.2.4.tar.gz 或 tar jxvf ...

  3. 【ICM Technex 2018 and Codeforces Round #463 (Div. 1 + Div. 2, combined) B】Recursive Queries

    [链接] 我是链接,点我呀:) [题意] 在这里输入题意 [题解] 写个记忆化搜索. 接近O(n)的复杂度吧 [代码] #include <bits/stdc++.h> using nam ...

  4. 【Android进阶】Junit单元測试环境搭建以及简单有用

    单元測试的目的 首先.Junit单元測试要实现的功能,就是用来測试写好的方法是否可以正确的运行,一般多用于对业务方法的測试. 单元測试的环境配置 1.在AndroidManifest清单文件的Appl ...

  5. crm使用soap删除字段

    //C# 代码: //DeleteAttributeRequest request = new DeleteAttributeRequest(); //request.EntityLogicalNam ...

  6. Snail—UI学习之导航视图控制器UINavigationController(系统)

    背景 有一个根视图控制器 然后跳转到第一个界面  第一个界面能够返回到根视图 也能够跳转到第二个视图 第二个视图能够直接返回到根视图 新建三个ViewController    RootViewCon ...

  7. iOS 实现QQ界面

    应师傅要求编写个QQ界面来不吝赐教下我的代码问题. 编写个QQ界面.有三个组,每一个组有人.并显示在线不在线. 先看一下效果图 这里省了事由于我的图片仅仅用了一张.假设要依据人的不同设置,仅仅要在ce ...

  8. Python数据可视化——散点图

    PS: 翻了翻草稿箱. 发现竟然存了一篇去年2月的文章...尽管naive.还是发出来吧... 本文记录了python中的数据可视化--散点图scatter, 令x作为数据(50个点,每一个30维), ...

  9. wcf rest系列文章

    http://www.cnblogs.com/artech/archive/2012/02/15/wcf-rest.html 需要注意的是,发布的服务,可以在web behavior中指定显示help ...

  10. GitHub开源控件的使用合集

    Android的加载动画AVLoadingIndicatorView 项目地址: https://github.com/81813780/AVLoadingIndicatorView 首先,在 bui ...