Paras Acharaya

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About

Paras Acharaya is a researcher at the intersection of biomedical engineering and assistive robotics, with a primary focus on developing intelligent systems for rehabilitation. His most cited work, "Estimation of Ankle Joint Torque and Angle Based on S-EMG Signal for Assistive Rehabilitation Robots" (2019), has garnered 17 citations and represents a key contribution to the field of human-robot interaction. In this study, Acharaya pioneered a method to decode surface electromyography (S-EMG) signals to accurately predict ankle joint torque and angle, enabling more responsive and adaptive control of exoskeletons and rehabilitation robots. This work directly addresses the challenge of creating intuitive, patient-specific assistive devices that can restore mobility in individuals with neuromuscular impairments. By bridging the gap between biological signals and robotic actuation, Acharaya’s research has implications for stroke rehabilitation, spinal cord injury recovery, and elderly mobility assistance. His approach emphasizes real-time, non-invasive sensing, making it practical for clinical and home-based settings. Acharaya’s contributions are foundational for the next generation of wearable robots that can learn and adapt to a user’s unique movement patterns, promising safer and more effective rehabilitation outcomes.