Year: 2025
Type: article
Abstract: : A new assistive technology, called the Hand Gesture Control Wheelchair (HGCW) system, is designed to help individuals with mobility impairments increase their independence and mobility. Thesystem consists of a wearable device with sensors that detect hand movements and Arduino microcontrollers for real-time data processing andwheelchair control.The HGCW system usesgesture recognition algorithms to translate hand gestures into corresponding wheelchair movements, such as forward, backward, left, and right turns, and communicates wirelessly with the wheelchair's control unit. The system is costeffective, customizable, and intuitive, making it accessible to a wide range of users. The HGCW system has the potential to revolutionize the way disabled individuals navigate their environment, empowering them to lead more independent and fulfilling lives. Through the adjustment of the head motion, the information goes wirelessly tothe microcontroller dependentmotor driving circuit to control the rotation of the WheelChairin five differentmodes, including FRONT, BACK, RIGHT, LEFT anda special STAND lockingdevice. The proposed system is assembled using components obtained from the local market and checked in the laboratory for efficient performance, the test results are included in this article.
Authors: Sweta Biranje, Dipali Ahire, Samadhan Desale, Shubham Tayde, Swarupa Wagh
Institution: University of Mumbai
Language: English
Subfield: Occupational Therapy
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409569605