Kinect
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KINECT SDK for Windows7 NUI Development http://kimeunseok.com
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Transcript of Kinect
KINECTSDK for Windows7 NUI Development
http://kimeunseok.com
KINECTSENSOR LIST
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CAMERA3D Depth Sensors 3D Depth Sensors
Multi MIC
Motorized Tilt
KINECTSDK FORWINDOWS 7
http://kimeunseok.com
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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#
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Microsoft Speech Platform Runtime, version 10.2Microsoft Speech Platform - Software Development Kit, version 10.2Kinect for Windows Runtime Language Pack, version 0.9
Speech Recognization
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- Up to 2 skeletal recognition.
-Recognizes 20 major areas, the name of each part there.
- Finding information on the skeletonC++: NuiSkeletonGetNextFrameC#: SkeletonEngine.GetNextFrame
NUI Skeleton Tracking
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NUI Skeleton Tracking SAMPLE
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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.
KINECTThe treatment of Parkinson's disease
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http://kimeunseok.com
Depth and compose an image using the Skeleton.With this feature, you can create the program guide.
STEP 1 : Image Overlay
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It is a tool that can be check to observe the movement of the tar-getThe data will be authoring into a text file, it can be more accurate movement.
STEP 2 : Motion recording
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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.
STEP 3 : Motion Control
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In advance, your body measured and accurate data will be ana-lyzed.The user’s behavior can be analyzed by the measurement of thje distanceOf their two hand distance.The accuracy of this pattern is very low, but it will continue to im-prove throughout the research.
STEP 4 : Clapping Check
KINECTThe remaining challenges.
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앞서 개발한 모든 툴을 종합하여 , 적외선 상 거리와 양손 끝점의 거리를 측정하고이를 통해 사용자가 박수를 쳤는지 아니면 빗나갔는지 체크한다 .
‘ 사용자의 체형을 사전에 저장’ 해야만 정확한 데이터가 측정될 것 같다 .
STEP 4 : Clapping Check
