Research Article
Big Data Stepwise Regression Correction Method for Forearm Wrong Posture in Track and Field
@INPROCEEDINGS{10.1007/978-3-030-94182-6_11, author={Yong-ming Chen and Cai-xu Xu}, title={Big Data Stepwise Regression Correction Method for Forearm Wrong Posture in Track and Field}, proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part II}, proceedings_a={IOTCARE PART 2}, year={2022}, month={6}, keywords={Stepwise regression Track and field sports Wrong forearm posture Correction}, doi={10.1007/978-3-030-94182-6_11} }- Yong-ming Chen
Cai-xu Xu
Year: 2022
Big Data Stepwise Regression Correction Method for Forearm Wrong Posture in Track and Field
IOTCARE PART 2
Springer
DOI: 10.1007/978-3-030-94182-6_11
Abstract
The current large data correction method for track and field forearm wrong posture has not considered the forearm posture detection results and restricts the arm posture detection, resulting in the wrong forearm posture and the low accuracy of the big data for correcting forearm posture. For this reason, a track and field forearm is proposed Stepwise regression correction method for wrong posture big data. Make full use of the information detection characteristics of the physical factors of the stepwise regression, and assume the time series of the forearm posture to detect the motion posture of the forearm in the track and field; calculate the misjudgment probability of detecting the forearm motion posture, form the misjudgment probability matrix, and analyze it according to the matrix. As a result, the forearm posture big data misjudgment probability matrix constraint is obtained; the stepwise regression method is used to realize the big data detection and classification of the forearm wrong posture, judge whether the forearm posture is wrong, calculate the peak value of the forearm posture error, and correct the big data of wrong forearm posture. The experimental results show that the error posture big data correction accuracy of this method is higher.
