^^

1. KINECT SDK for Windows7
NUI Development
http://kimeunseok.com

2. KINECT SENSOR
LIST
CAMERA
3D Depth Sensors 3D Depth Sensors
Multi MIC
Motorized Tilt
http://kimeunseok.com

3. KINECT SDK FOR
WINDOWS 7
http://kimeunseok.com

4. Requirements
Hardware Requirements
• Computer with a dual-core, 2.66-GHz or faster processor
• Windows 7–compatible graphics card that supports Microsoft?
DirectX? 9.0c capabilities
• 2 GB of RAM
• Kinect for Xbox 360
Software Requirements
• Microsoft Visual Studio? 2010 Express
• Microsoft .NET Framework 4.0 (installed with Visual Studio 2010)
• Kinect for Windows SDK Beta download page
Development Language
• C++/C#
http://kimeunseok.com

5. Speech Recognization
Microsoft Speech Platform Runtime, version 10.2
Microsoft Speech Platform - Software Development Kit, version 10.2
Kinect for Windows Runtime Language Pack, version 0.9
http://kimeunseok.com

6. NUI Skeleton Tracking
- Up to 2 skeletal recognition.
-Recognizes 20 major areas,
the name of each part there.
- Finding information on the skeleton
C++: NuiSkeletonGetNextFrame
C#: SkeletonEngine.GetNextFrame
http://kimeunseok.com

7. NUI Skeleton Tracking SAMPLE
http://kimeunseok.com

8. Kinect SDK : How to develop?
using Microsoft.Research.Kinect.Nui;
Which can be used to recognize the people directly, including classes
using Microsoft.Research.Kinect.Audio;
Class meetings related to speech recognition.
http://kimeunseok.com

9. KINECT The treatment of
Parkinson's disease
http://kimeunseok.com

10. STEP 1 : Image Overlay
Depth and compose an image using the Skeleton.
With this feature, you can create the program guide.
http://kimeunseok.com

11. STEP 2 : Motion recording
It is a tool that can be check to observe the movement of the target
The data will be authoring into a text file, it can be more accurate movement.
http://kimeunseok.com

12. STEP 3 : Motion Control
The user’s motion can be controlled by the device.
This technique has been developed using the infrared and the skeleton.
Using this technique can build a help-Program.
http://kimeunseok.com

13. STEP 4 : Clapping Check
In advance, your body measured and accurate data will be analyzed.
The user’s behavior can be analyzed by the measurement of thje distance
Of their two hand distance.
The accuracy of this pattern is very low, but it will continue to improve
throughout the research.
http://kimeunseok.com

14. KINECT The remaining
challenges.
http://kimeunseok.com

15. STEP 4 : Clapping Check
앞서 개발한 모든 툴을 종합하여, 적외선 상 거리와 양손 끝점의 거리를 측정하고
이를 통해 사용자가 박수를 쳤는지 아니면 빗나갔는지 체크한다.
‘사용자의 체형을 사전에 저장’ 해야만 정확한 데이터가 측정될 것 같다.
http://kimeunseok.com