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Detection of movements of head and mouth to provide computer access for disabled

  • You Song*
  • , Yunfeng Luo
  • , Jun Lin
  • *此作品的通讯作者
  • BUAA
  • Nanyang Technological University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

This paper analyzes the biometric identification and tracking related technologies of human-computer interaction. Based on Adaboost face detection algorithm, we propose a position-based head motion detection algorithm, which does not depend on the specific biometric identification and tracking. It uses feature classification method to detect mouth's opening and closing actions. We also design a software system to operate computer by image detection of head and mouth movements. The combinations of head and mouth movements, are mapped to various mouse events, including move, click and drag, and so on. This system can be used for the upper limb disabled who failed to use the traditional mouse and keyboard. Furthermore, it can also be used for general computer users to do neck rehabilitation training, computer somatic games, etc.

源语言英语
主期刊名Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
223-226
页数4
DOI
出版状态已出版 - 2011
已对外发布
活动16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011 - Chung-Li, 中国台湾
期限: 11 11月 201113 11月 2011

出版系列

姓名Proceedings - 2011 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011

会议

会议16th Annual Conference on Technologies and Applications of Artificial Intelligence, TAAI 2011
国家/地区中国台湾
Chung-Li
时期11/11/1113/11/11

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