Abstract
Many people with disabilities do not have the ability to control the powered wheelchair manually. This is overcomed in this project by the construction of well structured design and intelligent wheelchair for physically handicapped people. This wheelchair is modeled such that it can be run with less effort from the patient by using voice processing module to the microcontroller by giving voice commands for different directions. Another feature provided to patients are that, the wheelchair can also be controlled by eyeball module with sensors. Based on the movement of eyeball, wheelchair can be controlled.
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Dhomina, N., Amutha, C. (2020). Development of Eyeball Movement and Voice Controlled Wheelchair for Physically Challenged People. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_51
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DOI: https://doi.org/10.1007/978-3-030-32150-5_51
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