Abstract
This paper puts forward an autonomous assistance system for people with Amyotrophic Lateral Sclerosis, whose main goal is to improve the quality of life of the user, to move in a sure way in a semi-structured environment. For this purpose, it presents a robust scheme of multilayered where the position of look is captured with eye tracking technology, on an interface human-machine that represents an environment indoor; estimates a trajectory free of risks by means of the algorithm Rapidly-exploring random trees or RRT for a subsequent navigation with a wheelchair, resulting in the move of the user to the desired destination.
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Santana G., A., Ortiz C, O., Acosta, J.F., Andaluz, V.H. (2018). Autonomous Assistance System for People with Amyotrophic Lateral Sclerosis. In: Kim, K., Kim, H., Baek, N. (eds) IT Convergence and Security 2017. Lecture Notes in Electrical Engineering, vol 449. Springer, Singapore. https://doi.org/10.1007/978-981-10-6451-7_32
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DOI: https://doi.org/10.1007/978-981-10-6451-7_32
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