Developing an IoT based wheelchair: Biomedical data logging emergency contingency services

Abstract

Wheelchair being a common medium of transport among disabled and handicapped people, this paper solely focuses on the development of electrical wheelchair. Both sensor and IoT implementations are considered for a motorized wheelchair. This project was a collaborated attempt to achieve independent operations of the electrical wheelchair, with Centre for the Rehabilitation of the Paralyzed (CRP) and Control Applications Research Centre (CARC), Brac University. The objective of this paper is to provide a module for proximity sensor, heart rate sensor, torque sensor, GPS and posture detection systems for the patient. Heart rate sensors always helps the patient to keep pulses on check while posture detection system gives reminder to change lower body posture periodically. Proximity sensors are attached on the wheelchair to detect any incoming danger and alert the passenger, also in case of any danger the user can call for help pressing the SOS button. The GPS location will be received through an online platform by the caretaker. Torque sensor system allows the wheelchair to actively function longer hours using mechanical energy, and not just being dependent on battery power. Availability of such additional features makes the existing wheelchair safer and more reliable for patients, encouraging a more independent lifestyle with assured safety for outdoor activities like going to job place, marketing and attending educational institute. Supporting CRP to provide medical treatment and rehabilitation for disabled people essential requirements are met.