ABSTRACT
A smart wheelchair can restore autonomy to patients with sensori-motor disabilities by enabling them to move around freely without depending on the care givers. The objective of a smart wheelchair is to reduce user effort in controlling the wheelchair and to ensure safety during movement. In this paper, our focus is to design and develop a smart wheelchair using inexpensive hardware and open-source software so as to make it affordable to a larger section of the target population, particularly in developing nations. The user can control the wheelchair using three interfaces namely, keyboard, a webcam and a microphone. Webcam is used to detect head-tilt which can be used for turning the wheelchair. Microphone is used for controlling the wheelchair through discrete voice commands. The wheelchair can be operated in three modes namely, manual, automatic and tele-operation modes. The software and hardware architecture of the platform is described in detail and experiments are performed to demonstrate the usability of the platform.
- Arduino Mega. An open-source electronics prototyping platform. http://arduino.cc/en/Main/arduinoBoardMega.Google Scholar
- M. W. Brault. Americans with disabilities: 2010. http://www.census.gov/prod/2012pubs/p70-131.pdf, July 2012.Google Scholar
- Census of India. Demography: Disabled population. http://censusindia.gov.in/Census_And_You/disabled_population.aspx, 2001.Google Scholar
- Demographic Profile of Older Population. World Population Ageing:1950-2050, chapter 4, pages 23--27. United Nations, Department of Economic and Social Affairs, 2001.Google Scholar
- Enable. Factsheet on persons with disabilities. http://www.un.org/disabilities/default.asp?id=18,2012.Google Scholar
- T. Felzer and B. Freisleben. HaWCoS: the "hands-free" wheelchair control system. In Proc. of the fifth international ACM conference on Assistive Technologies (ASSETS), pages 127--134, New York, USA, 2002. Google ScholarDigital Library
- N. Grammalidis, G. Goussis, G. Troufakos, and M. G. Strintzis. 3-d human body tracking from depth images using analysis by synthesis. In International Conference on Image Processing (ICIP), volume 2, pages 185--188. IEEE, 2001.Google ScholarCross Ref
- M. Jae-Woong, K. Lee, S.-C. Lim, and D.-S. S. Kwon. Human friendly interfaces of wheelchair robotic system for handicapped persons. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), volume 2, pages 1505--1510, 2002.Google ScholarCross Ref
- Kinect. Xbox. http://www.xbox.com/kinect.Google Scholar
- M. Kinect. Wikipedia. http://en.wikipedia.org/wiki/Kinect.Google Scholar
- C. K. H. Law, M. Y. Y. Leung, Y. Xu, and S. K. Tso. A cap as interface for wheelchair control. In IEEE/RSJ International Conference on Intelligent Robots and systems (IROS), volume 2, pages 1439--1444, 2002.Google ScholarCross Ref
- S. P. Levine, D. A. Bell, L. A. Jaros, R. C. Simpson, Y. Koren, and J. Borenstein. The navchair assistive wheelchair navigation system. IEEE Transactions on Rehabilitation Engineering, 7(4):443--451, December 1999.Google ScholarCross Ref
- M. Mazo. An integral system for assisted mobility. IEEE Robotics and Automation Magazine, 8(1):45--56, March 2001.Google ScholarCross Ref
- M. Mazo, F. J. Rodriguez, J. L. Lazaro, J. Urena, J. C. Garcia, E. Santiso, P. Revenga, and J. J. Garcia. Wheelchair for physically disabled people with voice, ultrasonic and infrared sensor control. Autonomous Robots, 2(3):203--224, September 1995.Google ScholarCross Ref
- Nex Robotics. Super hercules 9V-24V, 15A motor driver. http://www.nex-robotics.com/products/motor-drivers/super-hercules-9v-24v-15a-motor-driver.html, 2012.Google Scholar
- OpenNI. A standard framework for 3d sensing. http://www.openni.org.Google Scholar
- Ostrich Mobility. Verve RX, power wheelchair. http://www.ostrichmobility.com/, 2012.Google Scholar
- S. P. Parikh, V. Grassi, V. R. Kumar, and J. Okamoto. Incorporating user inputs in motion planning for a smart wheelchair. In IEEE International Conference on Robotics and Automation (ICRA), volume 2, pages 2043--2048, April 2004.Google ScholarCross Ref
- J. W. Picone. Signal modeling techniques in speech recognition. Proceedings of the IEEE, 81(9):1215--1247, September 1993.Google ScholarCross Ref
- R. S. Rao, K. Conn, S.-H. H. Jung, J. Katupitiya, T. Kie, V. R. Kumar, J. P. Ostrowski, S. Patel, and C. J. Taylor. Human robot interaction: Application to smart wheelchair. In IEEE International Conference on Robotics and Automation (ICRA), volume 2, pages 3583--3588, 2002.Google ScholarCross Ref
- B. Rebsamen, C. L. Teo, Q. Zeng, V. M. H. Ang, E. Burdet, C. Guan, H. Zhang, and C. Laugier. Controlling a wheelchair indoors using thought. IEEE Intelligent Systems, 22(2):18--24, March-April 2007. Google ScholarDigital Library
- R. C. Simpson. Smart wheelchairs:a literature review. Journal of Rehabilitation Research & Development, 42(4):423--436, August 2005.Google ScholarCross Ref
- R. C. Simpson and S. P. Levine. Adaptive shared control of a smart wheelchair operated by voice control. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 622--626, Grenoble, September 1997.Google ScholarCross Ref
- R. C. Simpson, E. F. LoPresti, and R. A. Cooper. How many people would benefit from a smart wheelchair? Journal of Rehabilitation Research & Development, 45(1):53--72, November 2008.Google ScholarCross Ref
- R. C. Simpson, D. Poirot, and F. Baxter. The haphaestus smart wheelchair system. IEEE Transaction on Neural Systems and Rehabilitation Engineering, 10(2):118--122, June 2002.Google ScholarCross Ref
- Sphinx-4. Cmu sphinx: A speech recognizer. http://cmusphinx.sourceforge.net/sphinx4/.Google Scholar
- K. Tanaka, K. Matsunaga, and H. O. Wang. Electroencephalogram-based control of an electric wheelchair. IEEE Transactions on Robotics, 21(4):762--766, August 2005. Google ScholarDigital Library
- P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 1, pages 511--518, 2001.Google ScholarCross Ref
- VLC. Videolan streaming howto. http://www.videolan.org/doc/streaming-howto/en/.Google Scholar
- World Health Organization. Ageing and life course. http://www.who.int/ageing/en/, 2013.Google Scholar
- H. A. Yanco. Wheelesley: A robotic wheelchair system: Indoor navigation and user interface. Assistive Technology and Artificial Intelligence, LNAI, 1458:256--268, 1998. Google ScholarDigital Library
Index Terms
- Design and Implementation of a Smart Wheelchair
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