The patient-monitoring smart wheelchair system is a mobility aid for people
with disabilities and continuously tracks the user's vital body metrics. Four
interfaces—eyeball control, gesture control, joystick control, and voice control—have
been created for wheelchair control in order to cater to various limitations. The image
of the eyeball is captured using a camera. In order to make the necessary decisions
based on the position of the eyeball, LabVIEW is used. The wheelchair movement can
also be controlled by the other three modes. Anti-collision mechanisms are
implemented using ultrasonic sensors. In the wheelchair, body temperature and heart
rate monitoring provision is made. If any parameter is outside of a safe range, this
system will notify the appropriate medical authorities and the wheelchair user's chosen
individuals. The finished product is an innovative assistive technology that would
simplify and lessen the stress in its user's life.
Keywords: MSP430, Patient monitoring, Python, Smart wheelchair.
