Jianpeng An

Papers

Total Citations

H-Index

About

Dr. Jianpeng An is a researcher specializing in biomedical signal processing and rehabilitation robotics, with a particular focus on surface electromyography (sEMG)-based hand gesture recognition. His work addresses the critical challenge of improving gesture classification accuracy for applications in hand rehabilitation robotics, where precise control of assistive devices is essential. In his most-cited study, An introduced a moving average filtering technique for feature extraction from sEMG signals, demonstrating how this preprocessing method can enhance recognition performance. This contribution is particularly valuable for developing more responsive and reliable human-machine interfaces in clinical rehabilitation settings. While his citation impact is still growing, An's research represents an important step toward practical, real-time control of prosthetic and rehabilitative devices. His work sits at the intersection of signal processing, machine learning, and assistive technology, aiming to translate biological muscle activity into intuitive device commands. As the field of rehabilitation robotics continues to expand, An's methodological contributions to sEMG-based gesture recognition provide a foundation for future innovations in patient-centered assistive technologies.