Theerasak Chanwimalueang
Papers
2
Total Citations
11
H-Index
2
About
Theerasak Chanwimalueang is a researcher focused on biomedical signal processing and human-machine interfaces, particularly in the field of prosthetic control. His work centers on developing accurate and practical methods for interpreting electromyography (EMG) signals to control robotic and virtual prostheses. A major contribution is his 2013 paper, which introduced a highly accurate method for classifying forearm EMG signals using only two-channel electrodes. By applying independent component analysis (ICA) for blind source separation, his approach enabled control of a virtual hand prosthesis with 12 degrees of freedom, significantly improving dexterity with minimal hardware. This work has garnered 8 citations, reflecting its value in advancing practical prosthetic control. Earlier, in 2008, he developed a multi-channel EMG acquisition system using a programmable system-on-chip (PSOC) microcontroller and a low-cost electrode array, employing B-spline interpolation for robotic arm control. Chanwimalueang’s contributions are notable for their emphasis on accuracy and accessibility, pushing the boundaries of how EMG signals can be harnessed for intuitive, real-time control of assistive devices.
Research Focus
Key Achievements
Top Papers
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