Angkoon Phinyomark

About

Angkoon Phinyomark is a leading researcher in biomedical signal processing, with a primary focus on human-computer interaction (HCI) and assistive technology. His work centers on the analysis of surface electromyography (sEMG) and electrooculography (EOG) signals to develop intuitive, non-invasive control interfaces. A key contribution is his pioneering evaluation of feature extraction methods for EOG signals, demonstrating how eye movements can be reliably classified for HCI applications—a foundational study that has garnered over 50 citations. He has also made significant advances in signal denoising, notably through the application of wavelet transform algorithms to clean sEMG data, improving classification accuracy for prosthetic and rehabilitation devices. This work, with 39 citations, highlights his commitment to enhancing signal quality in real-world settings. Phinyomark’s research bridges engineering and clinical practice, offering robust solutions for assistive technologies. His contributions have been widely recognized, establishing him as a key figure in the development of more responsive and accessible human-machine systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Evaluating Feature Extraction Methods of Electrooculography (EOG) Signal for Human-Computer Interface

   50 citations · 2012
2. 2
   The Usefulness of Wavelet Transform to Reduce Noise in the SEMG Signal

   39 citations · 2012

Key Collaborators

Contact & Links