Voice Control and Eyeball Movement Operated Wheelchair
R. Maheswari, S. Vignesh, Rakesh Kumar M., Venkatesh T.M., Raman Sundar, Jose Anand A.
Abstract
Physically disabled persons rely heavily on rehabilitative mobility aids. Huge efforts are being undertaken to construct Human Interfacing Machines (HMIs) that will interface with bio-signals to regulate electronic mobility aids. Bio-signals are conveyed to an HMI using precise instructions and movement of body parts, which is the real issue for persons with a high level of handicap. As a result, this study introduces a signal-driven system employing ocular movement and speech recognition to accomplish the task of staircase climbing mechanism implementation in a wheelchair for a physically disabled population. The system is separated into three parts: First, the optical signal is used to identify ocular movement. The second is radiofrequency voice recognition. Third, with the procedure of the rocker-bogie, all three mechanisms are integrated into the wheelchair. The Wheelchair Skill Test (WST) is used to evaluate the arrangement's performance. Basic movements on rough and smooth surfaces are based on regulating apparatuses, compatibility, design prototypes, and usefulness in a variety of situations. The scheme efficaciously runs with a regular reaction time of 3s for eye movement and 3.4s for speech governor manner.