Thèses en ligne de l'université 8 Mai 1945 Guelma

a wheelchair through an EEG signal using stepper motors

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dc.contributor.author BERREHOUMA, Yahia
dc.date.accessioned 2022-10-12T07:59:11Z
dc.date.available 2022-10-12T07:59:11Z
dc.date.issued 2022-06
dc.identifier.uri http://dspace.univ-guelma.dz/jspui/handle/123456789/13095
dc.description.abstract ry through This Master thesis to develop a prototype for an electrical wheelchair controlled by human MindWave. The goal is to find a precise and effective way to help patients with reduced mobility, particularly stroke victims to find their normal life. To do so, we have combined a set of electronic and mechanic components to construct a remotely controlled omnidirectional mobile robot. After successfully building the robot chassis com- posed essentially of four mecanum wheels driven by four stepper motors, we started to control its motion with MindWaves and gyroscope where the captured signals are sent via a Bluetooth and WiFi connections. The obtained results were very positive compared to a conventional wheelchair, firstly, by the ability to move the robot laterally (to the right and to the left) without the need to turn, and secondly, by the precision and the stabilit en_US
dc.language.iso en en_US
dc.publisher Université 08 MAI 1945 Guelma en_US
dc.subject Omnidirecionnal motion , Brain-computer interface , MindWave ,EEG en_US
dc.title a wheelchair through an EEG signal using stepper motors en_US
dc.type Working Paper en_US


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