Abstract
Wearable computing will have effect our life deeply by 2025. Up to now, there is no pressure detecting insole designed according to the anatomical partition. In this paper, we design an intelligent insole, which is divided into 9 zones. This intelligent insole can collect and record user’s plantar pressure for each zone and display data on the mobile phone in the form of charts, curves and figures. We compare the obtained data with the healthy state model, then gives some hints and suggestions base on analysis, that are propitious to user health. The intelligent insole can infer the possible diseases and give the suggestion of convalescence. Experimental results show that intelligent insoles have good performance, which is low cost and easy popularization.
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Acknowledgements
This work was supported in part by the National Natural Science Foundation of China (51409117, 51679105, 61672261), Jilin Province Department of Education Thirteen Five science and technology research projects[2016] No. 432.
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Li, R., Ma, B., He, L., Wang, J. (2018). Design and Implement of Intelligent Insole System. 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_56
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DOI: https://doi.org/10.1007/978-981-10-7605-3_56
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