Journal article Open Access

Prototyping an Autonomous Face Controlled System using Raspberry-Pi on Wheelchairs

Shwetha H R; Nikhitha V Melige; Shabarish Reddy B S; Sujeeth U S; Sanjay D Gowda

Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)

Quadriplegics are people who cannot use their extremities. Existing aiding devices are costly, complex, not user friendly and they are guardian dependent for movement. In this paper, a Raspberry Pi enabled wheelchair movement control by head movement detection is presented. A head movement detection technique based on Open - Computer Vision image processing is used which detects the user's facial movement in real time using the camera. Using this, the wheelchair motors are controlled and are driven in the indicated direction. Also, numerous sensors such as temperature sensor, pulse rate sensor, accelerometer sensor and fire sensor are added to monitor patient health, safety and well-being.

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