Abstract
Many people with severe disabilities find it difficult or even impossible to use traditional powered wheelchairs independently by manually controlling these electrical devices. Intelligent wheelchairs are a very good solution to assist severely handicapped people who are unable to operate classical electrical wheelchair by themselves in their daily activities. This paper describes a development platform for intelligent wheelchairs called IntellWheels. The intelligent system developed may be added to commercial powered wheelchairs with minimal modifications in a very straightforward manner. The paper describes the concept and design of the platform, including the hardware and software, multimodal input interface and the intelligent wheelchair prototype developed to validate the approach. Preliminary results concerning automatic movement of the IntellWheels prototype are also described showing the autonomous movement capabilities of the prototype.
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References
Adachi, Y., Kuno, Y., Shimada, N., Shirai, Y.: Intelligent wheelchair using visual information on human faces. In: International Conference in Intelligent Robots and Systems, vol. 1, pp. 354–359 (1998)
Bell, D.A., Borenstein, J., Levine, S.P., Koren, Y., Jaros, L.: An assistive navigation system for wheelchairs based upon mobile robot obstacle avoidance. In: IEEE Conf. on Robotics and Automation (1994)
Faria, P.M., Braga, R.A.M., Valgôde, E., Reis, L.P.: Platform to Drive an Intelligent Wheelchair using Facial Expressions. In: Proceedings of the 9th International Conference on Enterprise Information Systems - Human-Computer Interaction (ICEIS 2007), Funchal Madeira, Portugal, June 12–16, pp. 164–169 (2007) ISBN: 978-972-8865-92-4
Faria, P.M., Braga, R.A.M., Valgôde, E., Reis, L.P.: Interface Framework to Drive an Intelligent Wheelchair Using Facial Expressions. In: IEEE International Symposium on Industrial Electronics, June 4-7, pp. 1791–1796 (2007) ISBN: 1-4244-0755-9
Fikes, R., Nilsson, N.J.: STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving. In: IJCAI 1971. pp. 608–620 (1971)
Hamagami, T., Hirata, H.: Development of intelligent wheelchair acquiring autonomous, cooperative, and collaborative behavior. IEEE International Conference on Systems, Man and Cybernetics 4, 3525–3530 (2004)
Hoyer, H., Hölper, R.: Open control architecture for an intelligent omnidirectional wheelchair. In: Proc.1st TIDE Congress, Brussels, pp. 93–97 (1993)
Jia, P., Hu, H.: Head Gesture based Control of an Intelligent Wheelchair. In: CACSUK - 11th Annual Conference of the Chinese Automation and Computing Society in the UK, Sheffield, UK (September 10, 2005)
Jia, P., Hu, H., Lu, T., Yuan, K.: Head Gesture Recognition for Hands-free Control of an Intelligent Wheelchair. Journal of Industrial Robot (2006)
Lakany, H.: Steering a wheelchair by thought. In: The IEEE International Workshop on Intelligent Environments, pp. 199–202 (June 2005)
Levine, S.P., Bell, D.A., Jaros, L.A., Simpson, R.C., Koren, Y., Borenstein, J.: The NavChair assistive wheelchair navigation system. In: IEEE Transactions on Rehabilitation Engineering, pp. 443–451 (1997)
Luo, R.C., Chen, T.M., Lin, M.H.: Automatic Guided Intelligent Wheelchair System Using Hierarchical Grey-Fuzzy Motion Decision-Making Algorithms. In: Proc. of IEEVRSJ 1999 - International Conference on Intelligent Robots and Systems (1999)
Madarasz, R.L., Heiny, L.C., Cromp, R.F., Mazur, N.M.: The design of an autonomous vehicle for the disabled. IEEE J. Robotics and Automat, 117 – 126 (September 1986)
Miller, D., Slack, M.: Design and testing of a low-cost robotic wheelchair prototype. Autonomous Robots 2, 77–88 (1995)
Miller, D.: Assistive Robotics: An Overview. Assistive Technology and AI, 126–136 (1998)
Ng, P.C., DeSilva, L.C.: Head gestures recognition. In: Proceedings of the International Conference on Image Processing, vol. 3, pp. 266–269 (2001) ISBN: 0-7803-6725-1
Rebsamen, B., Burdet, E., Guan, C., Zhang, H., Teo, C.L., Zeng, Q., Laugier, C., Ang Jr., M.H.: Controlling a Wheelchair Indoors Using Thought. IEEE Intelligent Systems and Their Applications 22, 18–24 (2007)
Shapiro, S.C.: Encyclopedia of Artificial Intelligence. Wiley Interscience, Hoboken (2000)
Simpson, R.C.: Smart wheelchairs: A literature review. Journal of Rehabilitation Research & Development 42, 423–436 (2005)
Simpson, R., et al.: NavChair: An Assistive Wheelchair Navigation System with Automatic Adaptation. In: Mittal, et al. (eds.) Assistive Technology and AI, pp. 235–255 (1998)
Sunrise, Sunrise Medical manufacturers (2007), www.sunrisemedical.co.uk
Wellman, P., Krovi, V., Kumar, V.: An adaptive mobility system for the disabled. In: Proceedings of the IEEE International Conference on Robotics and Automation (1994)
Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press, Cambridge (2005)
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Braga, R.A.M., Petry, M., Moreira, A.P., Reis, L.P. (2009). Concept and Design of the Intellwheels Platform for Developing Intelligent Wheelchairs. In: Cetto, J.A., Ferrier, JL., Filipe, J. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 37. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00271-7_14
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DOI: https://doi.org/10.1007/978-3-642-00271-7_14
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