Amlan Jyoti Kalita

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About

Amlan Jyoti Kalita is a researcher at the forefront of biomedical engineering and human-machine interaction, with a specialized focus on electromyography (EMG)-based control systems for assistive technologies. His most cited work, "Real-time EMG based prosthetic hand controller realizing neuromuscular constraint" (2022), has garnered 15 citations, marking a significant contribution to the field of prosthetic development. In this study, Kalita pioneered a real-time controller that integrates neuromuscular constraints into EMG signal processing, enabling more intuitive and naturalistic control of prosthetic hands. This innovation addresses a critical challenge in prosthetics—bridging the gap between user intent and device response—by leveraging the body's own neural and muscular dynamics. Kalita's research not only advances the technical precision of prosthetic interfaces but also enhances user comfort and functionality, offering a tangible step toward seamless human-machine integration. His work stands out for its practical application in rehabilitation engineering, where real-time adaptability is essential. As a rising voice in this domain, Kalita continues to explore the intersection of neural signal processing and robotic control, with his cited paper serving as a foundational piece for future developments in smart prosthetics and assistive robotics.