S. Daukantas, V. Marozas, A. Lukoševičius, D. Jegelevičius, D. Kybartas
{"title":"基于视频和惯性传感器的游泳运动运动参数估计","authors":"S. Daukantas, V. Marozas, A. Lukoševičius, D. Jegelevičius, D. Kybartas","doi":"10.1109/IDAACS.2011.6072785","DOIUrl":null,"url":null,"abstract":"The purpose of this study was to investigate if tracking of kinematical parameters (longitudinal acceleration, velocity and pitch angle) in swimming sport is feasible using data acquired with inertial sensors: accelerometer and gyroscope. Video data analysis combined “video + inertial sensor” and “inertial sensors only” methods are presented for estimation of kinematical parameters. The equation for estimation of longitudinal acceleration from inertial sensors data is derived and complementary filter for estimation of pitch angle variation is proposed. The inertial sensor based kinematical parameters are compared with video data analysis and electromagnetic tracking system derived parameters.","PeriodicalId":106306,"journal":{"name":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Video and inertial sensors based estimation of kinematical parameters in swimming sport\",\"authors\":\"S. Daukantas, V. Marozas, A. Lukoševičius, D. Jegelevičius, D. Kybartas\",\"doi\":\"10.1109/IDAACS.2011.6072785\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this study was to investigate if tracking of kinematical parameters (longitudinal acceleration, velocity and pitch angle) in swimming sport is feasible using data acquired with inertial sensors: accelerometer and gyroscope. Video data analysis combined “video + inertial sensor” and “inertial sensors only” methods are presented for estimation of kinematical parameters. The equation for estimation of longitudinal acceleration from inertial sensors data is derived and complementary filter for estimation of pitch angle variation is proposed. The inertial sensor based kinematical parameters are compared with video data analysis and electromagnetic tracking system derived parameters.\",\"PeriodicalId\":106306,\"journal\":{\"name\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDAACS.2011.6072785\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDAACS.2011.6072785","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Video and inertial sensors based estimation of kinematical parameters in swimming sport
The purpose of this study was to investigate if tracking of kinematical parameters (longitudinal acceleration, velocity and pitch angle) in swimming sport is feasible using data acquired with inertial sensors: accelerometer and gyroscope. Video data analysis combined “video + inertial sensor” and “inertial sensors only” methods are presented for estimation of kinematical parameters. The equation for estimation of longitudinal acceleration from inertial sensors data is derived and complementary filter for estimation of pitch angle variation is proposed. The inertial sensor based kinematical parameters are compared with video data analysis and electromagnetic tracking system derived parameters.