A Kinect-based handwritten digit recognition for TV remote controller

Tsai Te Chu, Chung Yen Su

研究成果: 書貢獻/報告類型會議貢獻

14 引文 斯高帕斯(Scopus)

摘要

Human-machine interaction is a popular research filed recently. Microsoft Kinect can provide us an economical way for tracking the skeleton of the human body. In this study, we present an efficient Kinect-based method for a potential application of TV remote controller. The proposed method consists of two parts: four direction (up/down/left/right) recognition and handwritten digit recognition. The developed recognitions include five main steps: initialization, tracking skeleton, judging the start condition, recording the path, and recognition. We use an intuitive way to start the event and achieve high accurate recognition for the users. We apply the least square method for the four direction recognition and a support vector machine library for the handwritten digit recognition. Experimental results show that the proposed system has great potential on future human-machine development.

原文英語
主出版物標題ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems
頁面414-419
頁數6
DOIs
出版狀態已發佈 - 2012
事件20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012 - Tamsui, New Taipei City, 臺灣
持續時間: 2012 十一月 42012 十一月 7

其他

其他20th IEEE International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2012
國家臺灣
城市Tamsui, New Taipei City
期間12/11/412/11/7

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing

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  • 引用此

    Chu, T. T., & Su, C. Y. (2012). A Kinect-based handwritten digit recognition for TV remote controller. 於 ISPACS 2012 - IEEE International Symposium on Intelligent Signal Processing and Communications Systems (頁 414-419). [6473522] https://doi.org/10.1109/ISPACS.2012.6473522