International Journal of Automation and Safety
Volume 2, Numéro 1, Pages 7-10
2024-06-30
Authors : Amrane Ali . Benyoucef Ahmed . Zennir Youcef .
In this work, we utilized a branch of artificial intelligence known as computer vision to provide easy and possible control of motorized wheelchairs in some special cases. We recognized that many disabled individuals who are unable to use their hands face challenges in operating traditional control sticks. Thus, we proposed a system that controls the wheelchair's movement by tracking the individual's head direction through a fixed camera placed in front of it. This means the wheelchair only moves based on the user's intended path as determined by their visual focus. This work has been successfully implemented in a simulated environment.
Motorized electric wheelchair ; artificial intelligence ; computer vision ; control ; simulation
بن العربي ام كلثوم
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بن سعدة ايمان
.
حرمة زكرياء
.
ص 150-165.
Grinat Benchohra
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pages 995-1014.
Belaidi Belaid
.
Hadjaj Fatima
.
Belhadj Mohamed
.
Sayed Boumedien
.
Himouri Abdelbaset
.
pages 45-53.
Khoudir Kakouche
.
Mourad Zebboudj
.
Zahra Mokrani
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Djamila Rekioua
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Toufik Rekioua
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pages 119-127.
Bouregba Abdelhamid
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Benhammou Aissa
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Hazzab Abdeldjabar
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Hadjeri Samir
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pages 33-40.