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About

Dr. An-Chih Tsai’s research lies at the intersection of biomedical signal processing and intelligent robotics, with a primary focus on advancing human motion pattern recognition through electromyography (EMG). His most influential work, a 2014 paper introducing a novel STFT-ranking feature for multi-channel EMG, has garnered over 100 citations, establishing a foundational method for decoding upper-limb movements. Dr. Tsai further contributed a comparative analysis of motion recognition during dynamic versus isometric muscle contractions (74 citations), deepening the understanding of EMG signal behavior under varying physiological conditions. His earlier work on modified multi-channel EMG features for upper-limb pattern recognition, though less cited, laid critical groundwork for these later breakthroughs. Beyond biomedical applications, Dr. Tsai’s engineering creativity is evident in his design of an intelligent robotic fish with a 6-degree-of-freedom mechanism, a project that demonstrates his versatility in applying control systems to bio-inspired underwater robotics. Through these contributions, Dr. Tsai has significantly advanced the reliability and applicability of EMG-based interfaces for prosthetics and human-machine interaction, while also exploring novel robotic platforms for environmental exploration.