Abstract
Body motion registration can be applied to control computer interfaces or real devices, and force myography (FMG) is a promising modality to register real-time body motions. In this work, an approach for FMG recording was developed by using flexible piezoelectret sensors, and different lower-limb motions of three able-bodied subjects were captured. The experimental results demonstrated that the piezoelectret sensors were a suitable approach for FMG recording, and the five-channel data were possible to register the motions of leg raising, knee flexion, and knee extension. An average motion classification accuracy of 92.1% was achieved, which would be useful for the FMG-based device control in future work.
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Acknowledgements
This work was partly supported by the National Key Basic Research Program of China (#2013CB329505), the National Natural Science Foundation of China (#61203209, #91420301), the Guangdong Province Natural Science Fund for Distinguished Young Scholars (#2014A030306029), the Shenzhen Peacock Plan Grant (#KQCX20130628112914295), and the Shenzhen Technology Development Grant (#CXZZ20150505093829781).
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Xu, R. et al. (2019). An Approach for Body Motion Registration Using Flexible Piezoelectret Sensors. In: Zhang, YT., Carvalho, P., Magjarevic, R. (eds) International Conference on Biomedical and Health Informatics. ICBHI 2015. IFMBE Proceedings, vol 64. Springer, Singapore. https://doi.org/10.1007/978-981-10-4505-9_21
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DOI: https://doi.org/10.1007/978-981-10-4505-9_21
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