The week's pick
Reseach Article
Real Time Skeleton Tracking based Human Recognition System using Kinect and Arduino
| National Conference on Role of Engineers in Nation Building |
| Foundation of Computer Science USA |
| NCRENB2015 - Number 2 |
| May 2015 |
| Authors: Satish Prabhu, Jay Kumar Bhuchhada, Amankumar Dabhi, Pratik Shetty |
| 95732960-318d-4fa9-b64d-5937bf2a89d6 |
Satish Prabhu, Jay Kumar Bhuchhada, Amankumar Dabhi, Pratik Shetty . Real Time Skeleton Tracking based Human Recognition System using Kinect and Arduino. National Conference on Role of Engineers in Nation Building. NCRENB2015, 2 (May 2015), 1-6.
Abstract
A Microsoft Kinect sensor has high resolution depth and RGB/depth sensing which is becoming available for wide spread use. It consists of object tracking, object detection and reorganization. It also recognizes human activity analysis, hand gesture analysis and 3D mapping. Face expression detection is widely used in computer human interface. Kinect depth camera can be used for detection of common face expressions. Face is tracked using MS Kinect which uses 2. 0 SDK. This makes use of depth map to create a 3D frame model of the face. By recognizing the facial expressions from facial images, a number of applications in the ?eld of human computer can be build. This paper describes about the working of Kinect and use of Kinect in Human Skeleton Tracking.
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