Bowen Sun
Papers
1
Total Citations
10
H-Index
1
About
Bowen Sun is a researcher at the forefront of rehabilitation robotics, with a focused expertise in developing intelligent, sensor-driven systems for motor recovery. His key research areas encompass human-robot interaction, multi-sensor data fusion, and objective rehabilitation assessment. Sun’s most significant contribution lies in addressing the critical challenge of quantifying rehabilitation progress. His landmark 2021 paper, "New Rehabilitation Assessment Method of the End-Effector Finger Rehabilitation Robot Based on Multi-Sensor Source," proposes a novel framework that integrates data from multiple sensors to provide a comprehensive, objective evaluation of finger rehabilitation outcomes. This work directly tackles the problem of subjective and imprecise assessments, offering a more reliable method to guide personalized therapy. With 10 citations, this study has established a foundation for data-driven rehabilitation, demonstrating the power of combining robotics with advanced sensing to improve clinical decision-making. Sun’s research is paving the way for more effective, automated, and patient-specific rehabilitation technologies, making a tangible impact on the field of assistive robotics and neurorehabilitation.
Research Focus
Key Achievements
Top Papers
- 1