Robotic systems are rapidly emerging as easy-to-use rehabilitation tools that enhance several of health-related infirmities. Frequently, stroke and spinal cord -injuries are impair normal healthful living by paralysis, albeit the affected patient's brains may remain functional. Such victims need long-term rehabilitation, by qualified therapists to regain motor and sensory controls, beyond the affordable reach of common citizens. This is where reasonably priced robotic exoskeleton systems come to their rescue. In the paper, we propose a novel design for hand orthosis, which is a lightweight pliable prototype can be calibrated to fit any average-sized hand. This device is controlled with a voice recognition module. Efficiency, delay, accuracy, realization, and robustness. Empirical results validate the efficacy, reliability, and robustness of the orthotic device that can be used in the rehabilitation of the stroke patients.
Rajesh Kannan Megalingam, Vijay, E., Naveen, P. N. Venkata, C. Reddy, P. Kumar, and Chandrika, D., “Voice-based Hand Orthotic Device”, in 2019 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, India, 2019.