An Omnidirectional Stereo Vision-Based Smart Wheelchair

To support safe self-movement of the disabled and the aged, we developed an electric wheelchair that realizes the functions of detecting both the potential hazards in a moving environment and the postures and gestures of a user by equipping an electric wheelchair with the stereo omnidirectional system (SOS), which is capable of acquiring omnidirectional color image sequences and range data simultaneously in real time. The first half of this paper introduces the SOS and the basic technology behind it. To use the multicamera system SOS on an electric wheelchair, we developed an image synthesizing method of high speed and high quality and the method of recovering SOS attitude changes by using attitude sensors is also introduced. This method allows the SOS to be used without being affected by the mounting attitude of the SOS. The second half of this paper introduces the prototype electric wheelchair actually manufactured and experiments conducted using the prototype. The usability of the electric wheelchair is also discussed.

[1]  S B Skaar,et al.  Initial results in the development of a guidance system for a powered wheelchair. , 1996, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[2]  L Fehr,et al.  Adequacy of power wheelchair control interfaces for persons with severe disabilities: a clinical survey. , 2000, Journal of rehabilitation research and development.

[3]  S. Moezzi.  Immersive Telepresence , 1997, IEEE Multimedia.

[4]  Yoshiaki Shirai,et al.  Look where you're going [robotic wheelchair] , 2003, IEEE Robotics Autom. Mag..

[5]  Holly A. Yanco,et al.  Wheelesley: A Robotic Wheelchair System: Indoor Navigation and User Interface , 1998, Assistive Technology and Artificial Intelligence.

[6]  Yutaka Satoh,et al.  Moving object detection by mobile Stereo Omni-directional System (SOS) using spherical depth image , 2006, Pattern Analysis and Applications.

[7]  Manuel Mazo,et al.  Electro-Oculographic Guidance of a Wheelchair Using Eye Movements Codification , 2003, Int. J. Robotics Res..

[8]  R. Simpson.  Smart wheelchairs: A literature review. , 2005, Journal of rehabilitation research and development.

[9]  H. H. Meinel,et al.  Commercial applications of millimeterwaves: history, present status, and future trends , 1995 .

[10]  V. Altuzar,et al.  Atmospheric pollution profiles in Mexico City in two different seasons , 2003 .

[11]  Yasushi Yagi,et al.  Real-time omnidirectional image sensor (COPIS) for vision-guided navigation , 1994, IEEE Trans. Robotics Autom..

[12]  Kazuhiko Yamamoto,et al.  Acquisition of three-dimensional information in a real environment by using the Stereo Omni-directional System (SOS) , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[13]  Richard Simpson,et al.  The smart wheelchair component system. , 2004, Journal of rehabilitation research and development.

[14]  Ulrich Borgolte,et al.  Architectural Concepts of a Semi-autonomous Wheelchair , 1998, J. Intell. Robotic Syst..

[15]  Alain Pruski,et al.  An autonomous vehicle for people with motor disabilities , 2001, IEEE Robotics Autom. Mag..

[16]  Christian Mandel,et al.  Towards an Autonomous Wheelchair: Cognitive Aspects in Service Robotics , 2005 .

[17]  David L. Jaffe,et al.  An ultrasonic head position interface for wheelchair control , 1982, Journal of Medical Systems.

[18]  K. Grattan,et al.  Navigation system for a mobile robot with a visual sensor using a fish-eye lens , 1998 .