Abstract
This paper proposed a new arm motion detection method based on a MEMS sensor. The method gets three-dimensional accelerations and angular velocities of user’s arm motions from a MEMS sensor. Then calculate the correlation coefficients between the data of the current motion cycle and each set of data in the feature database after normalize the data. Thereby, the system can successfully detect 2 specific motions, and the accuracy rate of the detection is 90%.
Y. Jiang—This work was supported in part from the National Natural Science Foundation of China (51409117, 51679105, 61672261, 61572228), Jilin Province Department of Education Thirteen Five science and technology research projects [2016] No. 432.
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Wang, K., Hu, C., He, L., Wei, F., Jiang, Y. (2018). A New Method of Arm Motion Detection Based on MEMS Sensor. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_68
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DOI: https://doi.org/10.1007/978-981-10-7605-3_68
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