Gesture recognition based on Kinect

Chi Hung Chuang, Ying Nong Chen, Ming Sang Deng, Kuo Chin Fan

研究成果: 書貢獻/報告類型會議論文篇章同行評審

2 引文 斯高帕斯(Scopus)

摘要

In recent years, depth cameras have become a widely available sensor type that captures depth images at real-time frame rates. For example, Microsoft KINECT is a powerful but cheap device to get depth images. Even though recent approaches have shown that 3D pose estimation and recognition from monocular 2.5D depth images has become feasible, there are still some challenge problems like gesture detection and recognition. In this paper, we propose a gesture recognition method and use that to make a puzzle game with kinesthetic system. Gesture is very important for our system because instead of using some devices like keyboard or mouse, users will play the puzzle game by their own hand. We will focus on using ROI and some algorithms that we proposed to do gesture detection and recognition.

原文???core.languages.en_GB???
主出版物標題Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
頁面1123-1129
頁數7
DOIs
出版狀態已出版 - 2014
事件Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013 - , Taiwan
持續時間: 23 8月 201325 8月 2013

出版系列

名字Lecture Notes in Electrical Engineering
260 LNEE
ISSN(列印)1876-1100
ISSN(電子)1876-1119

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???event.eventtypes.event.conference???Advanced Technologies, Embedded and Multimedia for Human-Centric Computing, HumanCom and EMC 2013
國家/地區Taiwan
期間23/08/1325/08/13

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