Open AccessPrototyping an Autonomous Face Controlled System using Raspberry Pi on Wheelchairs
Author(s) -
H.R. Shwetha,
Nikhitha Vikram Melige,
Shabarish Reddy B S,
U S Sujeeth,
Sanjay D Gowda
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b3226.1211221
Subject(s) - wheelchair , accelerometer , raspberry pi , computer science , gyroscope , movement (music) , tilt sensor , orb (optics) , computer vision , face detection , computer hardware , real time computing , embedded system , simulation , artificial intelligence , engineering , facial recognition system , image (mathematics) , feature extraction , telecommunications , internet of things , acoustics , operating system , world wide web , aerospace engineering , physics , optical fiber
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.