A Real Time Wireless Interactive Multimedia System
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  • 关键词:Gesture recognition ; Human ; computer interaction ; WiFi
  • 刊名:Lecture Notes in Computer Science
  • 出版年:2016
  • 出版时间:2016
  • 年:2016
  • 卷:9931
  • 期:1
  • 页码:53-65
  • 全文大小:600 KB
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  • 作者单位:Hong Li (17)
    Wei Yang (17)
    Yang Xu (17)
    Jianxin Wang (17)
    Liusheng Huang (17)

    17. University of Science and Technology of China, Hefei, China
  • 丛书名:Web Technologies and Applications
  • ISBN:978-3-319-45814-4
  • 刊物类别:Computer Science
  • 刊物主题:Artificial Intelligence and Robotics
    Computer Communication Networks
    Software Engineering
    Data Encryption
    Database Management
    Computation by Abstract Devices
    Algorithm Analysis and Problem Complexity
  • 出版者:Springer Berlin / Heidelberg
  • ISSN:1611-3349
  • 卷排序:9931
文摘
Recent years, various interactive multimedia systems have been applied to relevant fields such as education, entertainment, etc. Researchers exploit sensors, computer vision, ultrasonic, and electromagnetic radiation to achieve human-computer interaction (HCI). This paper proposes an interactive wireless multimedia system which utilizes ubiquitous wireless signals to identify human motions around smart WiFi devices. Compared with related work, our system realizes interactions between human and computer without extra hardware devices. The system identifies human gestures around the smart devices (i.e., a laptop) equipped with the commercial 802.11n NIC, and it maps different gestures into distinguishable computer instructions. We build a proof-of-concept prototype using off-the-shelf laptop and evaluate the system in a laboratory environment with standard WiFi access points. The results show that our system detects human gesture with an accuracy over 95 % and it achieves an average gesture classification accuracy of 89 % for five different users.

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