Papers
3
Total Citations
86
H-Index
3
About
Jiahan Li is a researcher at the forefront of human-computer interaction and rehabilitation robotics, specializing in the recognition of hand gestures and multi-object intergroup motions through surface electromyography (sEMG) and sensor fusion. Li’s major contributions include developing novel feature extraction methods that combine nonlinear and time-domain sEMG features, as well as fusion features from CMOS and 3D sensors, to improve gesture segmentation and classification accuracy. Their work has significantly advanced pattern recognition frameworks for bionic prostheses and rehabilitation equipment, enabling more intuitive and responsive control systems. Li’s most cited paper, “Multi-object intergroup gesture recognition combined with fusion feature and KNN algorithm” (2020), has garnered 65 citations, highlighting its impact on the field. Additional influential studies, such as “Fusion hand gesture segmentation and extraction based on CMOS sensor and 3D sensor” (2017) and “Hand motions recognition based on sEMG nonlinear feature and time domain feature fusion” (2019), further demonstrate Li’s commitment to enhancing human-machine interfaces. Through these achievements, Jiahan Li has established themselves as a key contributor to the development of intelligent, assistive technologies that restore and augment human motor function.
Research Focus
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Top Papers
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