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DC Field | Value | Language |
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dc.contributor.author | Buele, Jorge | - |
dc.contributor.author | Varela-Aldás, José | - |
dc.contributor.author | Salazar, Franklin | - |
dc.contributor.author | Soria, Angel | - |
dc.contributor.author | Andaluz, Víctor | - |
dc.date.accessioned | 2022-06-29T15:56:25Z | - |
dc.date.available | 2022-06-29T15:56:25Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | https://link.springer.com/chapter/10.1007/978-3-030-35740-5_9 | - |
dc.identifier.uri | http://repositorio.uti.edu.ec//handle/123456789/3405 | - |
dc.description.abstract | 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. | es |
dc.language.iso | eng | es |
dc.publisher | 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 | es |
dc.rights | openAccess | es |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | es |
dc.title | Wheelchair Controlled by Eye Movement Using Raspberry Pi for ALS Patients | es |
dc.type | article | es |
Appears in Collections: | Artículos Científicos Indexados |
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