Please use this identifier to cite or link to this item:
|Title:||A collaborative wheelchair system|
|Source:||Zeng, Q., Teo, C.L., Rebsamen, B., Burdet, E. (2008-04). A collaborative wheelchair system. IEEE Transactions on Neural Systems and Rehabilitation Engineering 16 (2) : 161-170. ScholarBank@NUS Repository. https://doi.org/10.1109/TNSRE.2008.917288|
|Abstract:||This paper describes a novel robotic wheelchair, and reports experiments to evaluate its efficiency and understand how human operators use it. The concept at the heart of the collaborative wheelchair assistant (CWA) is to rely on the user's motion planning skills while assisting the maneuvering with flexible path guidance. The user decides where to go and controls the speed (including start and stop), while the system guides the wheelchair along software-defined guide paths. An intuitive path editor allows the user to avoid dangers or obstacles online and to modify the guide paths at will. By using the human sensory and planning systems, no complex sensor processing or artificial decision system is needed, making the system safe, simple, and low-cost. We investigated the performance of the CWA on its interaction with able-bodied subjects and motion efficiency. The results show that path guidance drastically simplifies the control. Using the CWA, the wheelchair user needs little effort from the first trial, while moving efficiently with a conventional wheelchair requires adaptation. © 2006 IEEE.|
|Source Title:||IEEE Transactions on Neural Systems and Rehabilitation Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
WEB OF SCIENCETM
checked on Nov 15, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.