Haokang Xu
Papers
1
Total Citations
2
H-Index
1
About
Haokang Xu is a researcher advancing the field of human-machine interaction through innovative sensor technologies. His primary research areas include biomechatronics, multimodal sensing, and gesture recognition, with a focus on enhancing the accuracy and richness of muscle activity measurement. Xu's most notable contribution is his work on a strain gauge-based force myography (FMG) sensor, which he integrated with surface electromyography (sEMG) to create a dual-modal measurement system for hand gestures. This approach, detailed in his 2023 paper, addresses the limitations of single-modality sensors by combining mechanical and electrical muscle signals, offering a more robust and reliable method for decoding complex hand movements. While his citation count is still growing, his work has already garnered attention for its practical implications in prosthetics, rehabilitation, and wearable robotics. Xu's research stands out for its emphasis on low-cost, wearable solutions that bridge the gap between laboratory innovation and real-world application, making him a promising voice in the next generation of assistive technology.
Research Focus
Key Achievements
Top Papers
- 1