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Motion standard level system based on Internet of things

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  • Miao Yu

Abstract

Recognition of motion level is a popular research area in the field of image processing in recent years. Based on the sensor equipment of action data acquisition, this article analyses the sensitivity of the micro-electro-mechanical system sensor. Then, according to the data-centric characteristics of the Internet of things, a distributed memory file storage and file writing system is constructed in the Internet of things environment, and the reliability and effectiveness of SensorFS are verified. Finally, dynamic time warping algorithm is used to evaluate the standard degree of human movement with dynamic time warping difference as experimental parameter, and a demonstration experiment of shadowboxing is designed to verify it. The result error is less than 0.05% by changing the standard of shadowboxing artificially, which proves the accuracy of the system. It provides a theoretical basis for the establishment of the standard system based on the Internet of things.

Suggested Citation

  • Miao Yu, 2019. "Motion standard level system based on Internet of things," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.
    • Handle: RePEc:sae:intdis:v:15:y:2019:i:4:p:1550147719844158
    DOI: 10.1177/1550147719844158
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