Research Article
Data Acquisition Method of Human Injury in Sports Based on Internet of Things
@INPROCEEDINGS{10.1007/978-3-031-33545-7_9, author={Helin Li and Ying Wang}, title={Data Acquisition Method of Human Injury in Sports Based on Internet of Things}, proceedings={IoT and Big Data Technologies for Health Care. Third EAI International Conference, IoTCare 2022, Virtual Event, December 12-13, 2022, Proceedings}, proceedings_a={IOTCARE}, year={2023}, month={5}, keywords={Internet of things Athletic sports Human body injury Data collection Movement characteristics Adaptive acquisition}, doi={10.1007/978-3-031-33545-7_9} }- Helin Li
Ying Wang
Year: 2023
Data Acquisition Method of Human Injury in Sports Based on Internet of Things
IOTCARE
Springer
DOI: 10.1007/978-3-031-33545-7_9
Abstract
Traditional data acquisition methods usually collect and upload data at a fixed time interval, which is easy to generate a large number of redundant data, leading to large acquisition errors. To solve this problem, this study designed a new method of human injury data collection in sports based on the Internet of things. First of all, select the strong representative features such as the mean value and peak mean value of human injury data, and detect the human motion state according to the resultant acceleration, signal intensity region and tilt angle. Then, set up multiple sensors. Capture multi angle information of human motion data. Finally, using the adaptive strategy, the ratio of the residual energy and the total energy of the Internet of Things collection node is used to characterize the overall energy state of the node, reduce data redundancy, and then send the data to the data sink node through wireless transmission to confirm the current human motion injury state. Test results show that the average acquisition error of this method is relatively small, and it can collect human injury data more accurately in long-term sports.
