IOT-BASED WRIST BAND CONTROLLED WHEELCHAIRFORPARALYZEDPATIENTS

Abstract

The wheelchair stands out as a widely embraced assistive technology for individuals with motor impairments, offering both environmentally friendly mobility and comfort. Despite its widespread use, the traditional wheelchair's operational method presents challenges for those with finger- related issues. However, the conventional wheelchair's operational method remains inconvenient for individuals facing finger problems, as these inputs are crucial for controlling the wheelchair'smovement—forward, left, right,or backward.This system empowers users to move independently without relying on external assistance. To enhance safety, an obstacle detection systemhasbeenincorporatedintotheoverallscheme,consisting of sensor devices and a fog server. If an obstacle is detected, an LCD provides a visual indication. The scheme not only ensures continuousmonitoringofvitalsignsbutalsoincorporatestested indicatorstodeterminetemperaturelevels,forminganintegrated locator system. The study's findings demonstrate that participantswereabletonavigatethewheelchaircomfortablyto their destination without collisions. The experimental results highlight the high accuracy of the proposed approach and its potentialinaddressingissuesrelatedtofingerdependenciesand hand fatigue.