Prototyping an Autonomous Face Controlled System using Raspberry Pi on Wheelchairs

Autor: Nikhitha V Melige, Sanjay D Gowda, Shwetha H R, Sujeeth U S, Shabarish Reddy B S
Přispěvatelé: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Engineering and Advanced Technology. 11:5-8
ISSN: 2249-8958
DOI: 10.35940/ijeat.b3226.1211221
Popis: 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.
Databáze: OpenAIRE