ARCHIVES

1. R. C. Simpson, “Smart wheelchairs: A literature review”, Journal of Rehabilitation Research & Development (JRRD), Vol 42, Number
4, pp. 423–436, July/August 2005.
2. G. Bourhis, K. Moumen, P. Pino, S. Rohmer and A. Pruski, “Assisted navigation for a powered wheelchair. Systems Engineering in the
Service of Humans”, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, France, pp. 553–558, 1993.
3. J. Connell and P. Viola, “Cooperative control of a semi-autonomous mobile robot. Robotics and Automation”, Proceedings of the IEEE
International Conference on Robotics and Automation (ICRA), Cincinnati, Ohio, USA, pp. 1118–1121, 1990.
4. S. Guo, R. A. Cooper and G. G. Grindle, “Development of Head-Operated, Isometric Controls for Powered Mobility”, Proceedings of
RESNA 27th International Annual Conference, Orlando, Florida, 2004.
5. Macfarlane J. Other physical consequences of disability. Handbook of Clinical Neurology. 2013; 110:315-22. doi: 10.1016/b978-0-444-
52901-5.00026-5.
6. Hoeven TA, Leening MJ, Bindels PJ, Castano-Betancourt M, van Meurs JB, Franco OH, et al. Disability and not osteoarthritis-tis
predicts cardiovascular disease: A prospective population-based cohort study.
7. Rosso AL, Wisdom JP, Horner-Johnson W, McGee MG, Michael YL. Aging with a disability: a systematic review of cardiovascular
disease and osteoporosis among women ag-ing with a physical disability. Maturitas. 2011; 68(1):65-72. doi:
10.1016/j.maturitas.2010.10.00.8. J. Kim et al., “The Tongue Enables Computer and Wheelchair Control for People with Spinal Cord Injury”, Science Translational
Medicine, Vol 5, Issue 213, 27 November 2013.
9. M.E. Lund et al., “Inductive tongue control ofpowered wheelchairs”, Proceedings of Annual International Conference of the IEEE
Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, pp. 3361 - 3364, 2010.
10. E.M. Giesbrecht, W.C. Miller, B.T. Jin, I.M. Mitchell, and J.J. Eng.Rehab on wheels: A pilot study of tablet-based wheelchair training
forolder adults. JMIR Rehabil. and Assistive Technol., 2, Apr. 2015.
11. M. Urbano, J. Fonseca, U. Nunes, and H. Zeilinger. Extending a smart wheelchair navigation by stress sensors. In IEEE 16th Conf.
Emerg.Technol. & Factory Auto., pages 1–4, Toulouse, Sept. 2011.
12. C. Balaguer, A. Jardon, C.A. Monje, F. Bonsignorio, M.F. Stoelen S. Martinez, and J.G. Victores. Sultan: Simultaneous user learning
andtask execution, and its application in assistive robotics. In WorkshopNew and Emerg. Technol. in Assistive Robot., San Francisco,
CA, USA,Sept. 2011.
13. E. B. Van Der Poorten, E. Demeester, E. Reekmans, and J. Philips.Powered wheelchair navigation assistance through kinematically
correctenvironmental haptic feedback. In IEEE Int. Conf. Robot. and Auto.,pages 3706–3712, Saint Paul, MN, USA, May 2012.
14. R. Tang, X. Chen, M. Hayes, and I. Palmer. Develop. of a navigationsystem for semi-autonomous operation of wheelchairs. In
IEEE/ASMEInt. Conf. Mechatronics and Embedded Syst. and Applicat., pages 257–262, Suzhou, Jul. 2012.
15. F. Carrino, J. Dumoulin, E. Mugellini, O. Khaled, and R. Ingold. Aself-paced bci system to control an electric wheelchair: evaluation of
acommercial, low-cost eeg device. In ISSNIP Biosignals and Bio Robotics Conf., pages 1–6, Manaus, Jan. 2012.
16. J. S. Nguyen. A Smart Wheelchair System using a Combination ofStereoscopic and Spherical Vision Cameras. PhD thesis, Univ.
Technol., Sydney, 2012.
17. S. Cockrell, G. Lee, and W. Newman. Determining navigability ofterrain using point cloud data. In Proc. IEEE Int. Conf. Rehabil.
Robot.,pages 1–6, Seattle Washington, Jun. 2013.
18. J. Tavares, J. Barbosa, and C. Costa. A smart wheelchair based onubiquitous computing. In Proc. 6th Int. Conf. Pervasive Technol.
Relatedto Assistive Environments, pages 1–4, New York, NY, USA, May 2013.
19. A.R. Trivedi, A.K. Singh, S. T. Digumarti, D. Fulwani, and S. Kumar.Design and implementation of a smart wheelchair. In Proc. Conf.
Adv.In Robot., pages 1–6, New York, NY, USA, 2013.
20. J. Leaman and H. M. La, “A comprehensive review of smart wheelchairs: past, present, and future,” IEEE Transactions on Human-
Machine Systems, vol. 47, no. 4, pp. 486–489, 2017.
21. C. T. Lin, C. Euler, P. Wang, and A. Mekhtarian, “Indoor and outdoor mobility for an intelligent autonomous wheelchair,”
in Proceedings of the 13th ICCHP, International Conference on Computers Helping People with Special Needs, 2012.
22. C. A. Rockey, E. M. Perko, and W. S. Newman, “An evaluation of low-cost sensors for smart swheelchairs,” in Proceedings of the 2013
IEEE International Conference on Automation Science and Engineering, CASE 2013, pp. 249–254, USA, August 2013.
23. S. Desai, S. S. Mantha, and V. M. Phalle, “Advances in smart wheelchair technology,” in Proceedings of the 2017 International
Conference on Nascent Technologies in Engineering, ICNTE 2017, pp. 1–7, Navi Mumbai, India, January 2017.
24. R. C. Simpson, D. Poirot, and F. Baxter, “The hephaestus smart wheelchair system,” IEEE Transactions on Neural Systems and
Rehabilitation Engineering, vol. 10, no. 2, pp. 118–122, 2002.
25. P. Wang, N. R. Keyawa, and C. Euler, “Radial polar histogram: obstacle avoidance and path planning for robotic cognition and motion
control,” in Proceedings of the SPIE 8301, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, Burlingame,
Calif, USA, 2012