{"title":"结合IMU和光流进行动作识别","authors":"Taha Alhersh, H. Stuckenschmidt","doi":"10.1109/PERCOMW.2019.8730743","DOIUrl":null,"url":null,"abstract":"Different Action recognition methods use Inertial Measurement Unit (IMU) and optical flow independently. This research aims to explore the usefulness of combining IMU and Optical flow for action recognition. We are investigating the effectiveness of using statistical features to build an expandable feature vector space.","PeriodicalId":437017,"journal":{"name":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"On the Combination of IMU and Optical Flow for Action Recognition\",\"authors\":\"Taha Alhersh, H. Stuckenschmidt\",\"doi\":\"10.1109/PERCOMW.2019.8730743\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Different Action recognition methods use Inertial Measurement Unit (IMU) and optical flow independently. This research aims to explore the usefulness of combining IMU and Optical flow for action recognition. We are investigating the effectiveness of using statistical features to build an expandable feature vector space.\",\"PeriodicalId\":437017,\"journal\":{\"name\":\"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOMW.2019.8730743\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOMW.2019.8730743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Combination of IMU and Optical Flow for Action Recognition
Different Action recognition methods use Inertial Measurement Unit (IMU) and optical flow independently. This research aims to explore the usefulness of combining IMU and Optical flow for action recognition. We are investigating the effectiveness of using statistical features to build an expandable feature vector space.
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