A New Gesture Recognition System Based on Laser-Speckle Imagery

• Main Authors: Huang,Wei-Yen, 黃偉彥
• Other Authors: Yang,Kei-Hsiung
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/70690572971882495187

碩士 === 國立交通大學 === 照明與能源光電研究所 === 100 === Gesture recognition is one of the most promising fields in computer science, and touch-input technology. It’s applications to sport gaming on a TV set such as Microsoft Kinect is well known. It also facilitates the interactions between computer and human beings. Most of algorithms for gesture recognition are too complicated and time-consuming. In this thesis, we use dynamic time warping algorithm to compute data that are less time-consuming and better accuracy. We use Kinect, a tool for laser-speckle imagery, containing a light source and a detector to obtain data for tracking skeleton and joint. Comparing these data with the reference data by DTW algorithm, we can figure out the similarity and the difference between two groups of data. Hence, our methods of gesture recognition are faster and better accuracy.