{"title":"基于Kinect的俯卧撑动作评价系统","authors":"Xia Liu, Mingdie Yan, Yazhuo Li, Xiao Li","doi":"10.1145/3529836.3529915","DOIUrl":null,"url":null,"abstract":"In order to realize automatic counting and motion evaluation of push-ups, Kinect sensor is used to collect obtain skeleton key points. By analyzing the rules and characteristics of push-up movement, the required key points are selected. The effective data are obtained by data processing methods such as vacancy filling, data conversion and mean filtering. By extracting the characteristics of push-ups, segmentation is carried out to realize movement counting. DTW algorithm is used to calculate the relative approximation of each push-up movement and the pre-set standard movement, so as to measure whether the movement is standard. The test shows that the system is feasible.","PeriodicalId":285191,"journal":{"name":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation System of Push-up Action Based on Kinect\",\"authors\":\"Xia Liu, Mingdie Yan, Yazhuo Li, Xiao Li\",\"doi\":\"10.1145/3529836.3529915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to realize automatic counting and motion evaluation of push-ups, Kinect sensor is used to collect obtain skeleton key points. By analyzing the rules and characteristics of push-up movement, the required key points are selected. The effective data are obtained by data processing methods such as vacancy filling, data conversion and mean filtering. By extracting the characteristics of push-ups, segmentation is carried out to realize movement counting. DTW algorithm is used to calculate the relative approximation of each push-up movement and the pre-set standard movement, so as to measure whether the movement is standard. The test shows that the system is feasible.\",\"PeriodicalId\":285191,\"journal\":{\"name\":\"2022 14th International Conference on Machine Learning and Computing (ICMLC)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Machine Learning and Computing (ICMLC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3529836.3529915\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Machine Learning and Computing (ICMLC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3529836.3529915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation System of Push-up Action Based on Kinect
In order to realize automatic counting and motion evaluation of push-ups, Kinect sensor is used to collect obtain skeleton key points. By analyzing the rules and characteristics of push-up movement, the required key points are selected. The effective data are obtained by data processing methods such as vacancy filling, data conversion and mean filtering. By extracting the characteristics of push-ups, segmentation is carried out to realize movement counting. DTW algorithm is used to calculate the relative approximation of each push-up movement and the pre-set standard movement, so as to measure whether the movement is standard. The test shows that the system is feasible.