Gesture Controlled Wheelchair with IoT Based Fall Detection
Prashant Mishra, Shruti Mistry, Meera Kumari, Vardhan Trivedi, Pandharinath Ghonge · International Journal for Research in Applied Science and Engineering Technology · 2023
Abstract: Any kind of accident related to falling can cause serious injuries to the victim. Fall can happen arbitrarily and anywhere without one’s preparation for remedy. The situation is aggravated especially for an incident occurring at a deserted place where the afflicted victim may be unable to notify other people for help. Disabled people who are bound to a wheelchair are more susceptible to an incident of falls and the accompanying issues. So, we have provided a technical model where the event of falling off a wheelchair is detected. A multitude of IoT-based services has been provided to alleviate the need to notify the intended person about the fall for getting the immediate help required at that moment. An alarm is also provisioned to notify other people in the vicinity. The provision for gesture-based movement for the wheelchair is also provided to operate the wheelchair in case of emergency when other people are not around and it works using inputs from an accelerometer which is also used for fall detection.