Ayumu Tsuboi
ABSTRACT
Hand and finger motion is very complicated and achieved by intertwining forearm part (extrinsic) and finger part (intrinsic) muscles. We created a wearable finger-less glove controller using dry electrodes of sEMG(surface Electromyography) and only intrinsic hand muscles were sensed. Our wearable interface device is easy to wear and light-weighted. In offline analysis, we identified the tapping motion of fingers using the wearable glove. Totally eleven features were extracted, and linear discriminant analysis (LDA) was used as a classifier. The average of the discrimination result of intersubject analysis was 88.61±3.61%. In online analysis, we created a demo that reflects actual movement in the virtual space by Unity. Our demo showed a prediction of finger motions, and realized the motions in the virtual space.
Supplemental Material
- Adenike A. Adewuyi, Levi J. Hargrove, and Todd A. Kuiken. 2016. An Analysis of Intrinsic and Extrinsic Hand Muscle EMG for Improve Pattern Recognition Control. IEEE Transactions on Neural Systems and Rehabilitation Engineering 24, 4 (2016), 485--494.Google Scholar
Cross Ref
- Xun Chen and Z.Jane Wang. 2013. Pattern Recognition of Number Gestures based on a Wireless Surface EMG System. Biomedical Signal Processing and Control 8 (2013), 184--192.Google ScholarCross Ref
- Yinfeng Fang, Zhaojie Ju, Xiangyang Zhu, and Honghai Liu. 2014. Finger Pinch Force Estimation Through Muscle Activations Using a Surface EMG Sleeve on the Forearm. IEEE International Conference on Fuzzy Systems (2014), 1449--1455.Google ScholarCross Ref
- Z. Ma and P. Ben-Tzvi. 2015. RML Glove-An Exoskeleton Glove Mechanism With Haptics Feedback. IEEE/ASME Transactions on Mechatronics 20 (2015), 641--652.Google ScholarCross Ref
- Z. Ma, P. Ben-Tzvi, and J. Danoff. 2016. Hand Rehabilitation Learning System With an Exoskeleton Robotic Glove. IEEE Transactions on Neural Systems and Rehabilitation Engineering 24, 12 (2016), 1323--1332.Google ScholarCross Ref
- K. H. Low Y. Y. Huang and H. B. Lim. 2008. Initial Analysis of EMG Signals of Hand Functions Associated to Rehabilitation Tasks. IEEE International Conference on Robotics and Biomimetics (2008), 530--535. Google ScholarDigital Library
Index Terms
- A proposal for wearable controller device and finger gesture recognition using surface electromyography
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