Josefa Wivou, P. Pathirana, Ian S. Gibson, L. Udawatta
{"title":"基于生物识别技术的高尔夫挥杆数据采集系统","authors":"Josefa Wivou, P. Pathirana, Ian S. Gibson, L. Udawatta","doi":"10.1109/ICIAFS.2016.7946560","DOIUrl":null,"url":null,"abstract":"This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"5 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"BioKin based system for capturing golf swing data\",\"authors\":\"Josefa Wivou, P. Pathirana, Ian S. Gibson, L. Udawatta\",\"doi\":\"10.1109/ICIAFS.2016.7946560\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.\",\"PeriodicalId\":237290,\"journal\":{\"name\":\"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)\",\"volume\":\"5 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIAFS.2016.7946560\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIAFS.2016.7946560","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.
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