{"title":"弱计数器:基于加速的动作重复计数与弱监督学习","authors":"Yuuki Nishino, T. Maekawa, T. Hara","doi":"10.1145/3460421.3480431","DOIUrl":null,"url":null,"abstract":"This study presents WeakCounter, which is a weakly supervised method for the repetition counting of a human action using a body-worn inertial sensor. WeakCounter is composed of two novel components: i) an attention-based network that can be trained on a weak label, which is defined to specify only the number of repetitions of an action included in an input data segment in this study, and ii) label diversification that enhances training of the network.","PeriodicalId":395295,"journal":{"name":"Proceedings of the 2021 ACM International Symposium on Wearable Computers","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning\",\"authors\":\"Yuuki Nishino, T. Maekawa, T. Hara\",\"doi\":\"10.1145/3460421.3480431\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presents WeakCounter, which is a weakly supervised method for the repetition counting of a human action using a body-worn inertial sensor. WeakCounter is composed of two novel components: i) an attention-based network that can be trained on a weak label, which is defined to specify only the number of repetitions of an action included in an input data segment in this study, and ii) label diversification that enhances training of the network.\",\"PeriodicalId\":395295,\"journal\":{\"name\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2021 ACM International Symposium on Wearable Computers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3460421.3480431\",\"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 2021 ACM International Symposium on Wearable Computers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3460421.3480431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
WeakCounter: Acceleration-based Repetition Counting of Actions with Weakly Supervised Learning
This study presents WeakCounter, which is a weakly supervised method for the repetition counting of a human action using a body-worn inertial sensor. WeakCounter is composed of two novel components: i) an attention-based network that can be trained on a weak label, which is defined to specify only the number of repetitions of an action included in an input data segment in this study, and ii) label diversification that enhances training of the network.
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