Chang-wei Ou
Papers
2
Total Citations
23
H-Index
2
About
Chang-wei Ou is a researcher at the forefront of rehabilitation robotics and human–machine interaction, with a primary focus on lower limb motion recognition using surface electromyography (sEMG) signals. His work addresses critical challenges in assistive technology, particularly for individuals with motor impairments. Ou’s most cited study, "Lower limb motion recognition based on surface electromyography signals and its experimental verification on a novel multi-posture lower limb rehabilitation robot" (2022, 19 citations), introduced a novel multi-posture rehabilitation robot and validated sEMG-based motion recognition in real-world settings. This work bridges the gap between signal processing and practical robotic control. Expanding on this, his 2023 paper on "Online pattern recognition of lower limb movements based on sEMG signals and its application in real-time rehabilitation training" (4 citations) proposed a personalized, wireless wearable acquisition system for real-time feedback during therapy. Ou’s contributions are significant for developing adaptive, patient-specific rehabilitation devices that enhance recovery outcomes. With a growing citation impact, his research is paving the way for smarter, more responsive exoskeletons and robotic trainers, making rehabilitation more effective and accessible.
Research Focus
Key Achievements
Top Papers
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- 2