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    Título : Wheelchair Controlled by Eye Movement Using Raspberry Pi for ALS Patients
    Autor : Buele, Jorge
    Varela-Aldás, José
    Salazar, Franklin
    Soria, Angel
    Andaluz, Víctor
    Fecha de publicación : 2020
    Editorial : Advances in Intelligent Systems and Computing. Volume 1099, Pages 124 - 136. 6th Conference on Information and Communication Technologies, TIC.EC 2019. Cuenca. 27 November 2019 through 29 November 2019
    Resumen : The mobility of people who have suffered a degenerative disease or an accident is partially or totally reduced, which limits their locomotive independence. Therefore, this paper presents a proposal that facilitates the mobility of people suffering from moderate levels of amyotrophic lateral sclerosis (ALS). A control system has been adapted to an electric wheelchair to provide it with a certain degree of intelligence. The acquisition of multimedia data is done with a small camera adapted to a glasses frame that the person must use. For eye patterns tracking, a recognition system is performed using the LabVIEW software environment. The control system that regulates the movement of the wheelchair was designed on the Raspberry Pi embedded board as a low-cost proposal. Experimental tests and user surveys validate the correct operation of this device. © 2020, Springer Nature Switzerland AG.
    URI : https://link.springer.com/chapter/10.1007/978-3-030-35740-5_9
    http://repositorio.uti.edu.ec//handle/123456789/3405
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