A Touch-Based Wheelchair Control Interface: Concept and Implementation

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In this paper, we propose a wTouch interface for controlling a human-centered intelligent wheelchair. The wTouch interface is a touch panel which performs similar joystick manipulations while it provides convenient wheelchair control interface, as well as offers useful wheelchair status. In addition, reactive navigation techniques are also developed by combining with the obstacle information to perform collision free navigations. The obstacle detection sensor uses a laser range finder and the reactive navigation uses the artificial potential field approach. Finally, a wTouch wheelchair prototype is produced in our laboratory for evaluating the performance of reactive navigations.

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1471-1474

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xu, W.L. and Tso, S.K., 1999, Sensor-based fuzzy reactive navigation of a mobile robot through local target switching, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 29(3), p.451 – 459.

DOI: 10.1109/5326.777079

Google Scholar

[2] Iturrate, I., Antelis, J.M., Kubler, A., and Minguez, J.A., 2009, "Noninvasive brain-actuated wheelchair based on a P300 neurophysiological protocol and automated navigation, IEEE Transactions on Robotics, 25(3), p.614 – 627.

DOI: 10.1109/tro.2009.2020347

Google Scholar

[3] Zeng, Q., Rebsamen, B., Burdet, E., and Teo, C.L., 2008, "A collaborative wheelchair system, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16(2), p.161 – 170.

DOI: 10.1109/tnsre.2008.917288

Google Scholar

[4] Mihailidis, A., Elinas, P., Boger, J., and Hoey, J., 2007. "An intelligent powered wheelchair to enable mobility of cognitively impaired older adults: an anticollision system, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 15(1), p.136.

DOI: 10.1109/tnsre.2007.891385

Google Scholar

[5] Katsura, S. and Ohnishi K., 2006, Semiautonomous wheelchair based on quarry of environmental information, IEEE Transactions on Industrial Electronics, 53(4), p.1373 – 1382.

DOI: 10.1109/tie.2006.878294

Google Scholar

[6] Khatib, O., 1986, Real-time obstacle avoidance for manipulators and mobile robots, International Journal on Robotics Research, 5(1), p.90 – 98.

DOI: 10.1177/027836498600500106

Google Scholar

[7] Park, M.G., Jeon, J.H., and Lee, M.C., 2001, Obstacle avoidance for mobile robots using artificial potential field approach with simulated annealing, IEEE International Symposium on Industrial Electronics, 2001. Proceedings, 3, p.1530 – 1535.

DOI: 10.1109/isie.2001.931933

Google Scholar

[8] Phase Space motion capture system product information, online available: http: /www. phasespace. com.

Google Scholar