• Mohammed Wasif Hussain
• Abdul Basith
• Syed Vequas Moinuddin
• Zubeda Begum

A hybrid voice and gesture-controlled wheelchair prototype was developed using a commercially available manual wheelchair to assist people with both upper and lower limb disabilities. An Arduino microcontroller processes the voice command from the speech recognition module and controls the motor movement of the wheelchair. Bluetooth module was also used to do away with messy wiring. Along with this flex sensor are used to detect the gesture of the person and control the wheel chair. Health Monitoring is also done by connecting heart beat, pulse oximeter sensor and body temperature for health condition any abnormalities information will be shared to family doctor and emergency unit using IOT.

Flex Sensor, MAX30100, Arduino UNO, LCD Display, IOT platform, Bluetooth Module.

"Automated Wheelchair Using Speech and Gesture with Real-time Health Monitoring System through IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.h60-h67, May-2022, Available :http://www.jetir.org/papers/JETIR2205807.pdf

"Automated Wheelchair Using Speech and Gesture with Real-time Health Monitoring System through IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. pph60-h67, May-2022, Available at : http://www.jetir.org/papers/JETIR2205807.pdf