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Disabled or paralyzed individuals often face significant challenges in regaining mobility and independence. Assistive technology plays a crucial role in improving their quality of life. In this research, we introduce a novel system that combines hand gesture recognition with real-time voice output to assist individuals with paralyzed hands in monitoring and improving their hand movements. This innovative system leverages cutting-edge technologies to bridge the gap between intention and action for individuals with limited hand mobility. This project represents a significant leap forward in assistive technology. By combining cutting-edge gesture recognition with real-time voice output, we aim to empower individuals with paralyzed hands, granting them greater control over their surroundings and fostering improved quality of life and independence. Our system's adaptability and responsiveness offer a promising solution for those who need it most, marking a vital step toward enhancing the lives of individuals with limited hand mobility.
Reddy et al. (Tue,) studied this question.