“Telewheelchair: A Demonstration of the Intelligent Electric Wheelchair System towards Human-Machine” – ACM SIGGRAPH HISTORY ARCHIVES

“Telewheelchair: A Demonstration of the Intelligent Electric Wheelchair System towards Human-Machine”

  • ©

Conference:


Experience Type(s):


Title:


    Telewheelchair: A Demonstration of the Intelligent Electric Wheelchair System towards Human-Machine

Organizer(s)/Presenter(s):



Description:


    We propose the Intelligent Electric Wheelchair system that is able to provide care by combining telepresence and machine intelligence.

    We present demonstration of a telepresence system [Suzuki et al. 2017] that is able to provide care from a remote location by implementing functions such as object recognition on a wheelchair. In conventional remote control method for wheelchair, the operator controls the system while receiving feedback from cameras mounted on the robot [Gundersen et al. 1996]. However, this operating method cannot capture the full environment around the system, even if we use wide FOV cameras, such as omnidirectional cameras. In order to utilize the telepresence system safely, it is necessary to solve the problem of the blind spot of the user. Further, human operators are limited by their attention span. The reaction time of the computer is greater than that of humans.

References:


    [1]
    RT Gundersen, Stephen J Smith, and Ben A Abbott. 1996. Applications of virtual reality technology to wheelchair remote steering systems. In Proc. of 1st Euro Conf of Disability, Virtual Reality & Assoc. Technology. 47–56.

    [2]
    Ippei Suzuki, Satoshi Hashizume, Kazuki Takazawa, Ryuichiro Sasaki, Yoshikuni Hashimoto, and Yoichi Ochiai. 2017. Telewheelchair: The Intelligent Electric Wheelchair System Towards Human-machine Combined Environmental Supports. In ACM SIGGRAPH 2017 Posters (SIGGRAPH ’17). ACM, New York, NY, USA, Article 30, 1 pages.


ACM Digital Library Publication:


Overview Page:



Submit a story:

If you would like to submit a story about this experience or presentation, please contact us: historyarchives@siggraph.org