{"title":"浴室运动监测超宽带传感器与特征提取算法","authors":"K. Kashima, R. Nakamura, A. Kajiwara","doi":"10.1109/SAS.2013.6493569","DOIUrl":null,"url":null,"abstract":"In this paper, a bathroom movements monitoring sensor system based on Ultra-Wideband Radio (UWB-IR) is suggested where a Cube Higher-order Local Auto-Correlation (CHLAC) method is employed to estimate some movements of a bathing person against waving from the surface of water in a bathtub. The usefulness of our suggested algorithm is investigated experimentally and it is shown that estimation rate of more than 90% can be attained for various a bathing persons movements in a bathroom.","PeriodicalId":309610,"journal":{"name":"2013 IEEE Sensors Applications Symposium Proceedings","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Bathroom movements monitoring UWB sensor with feature extraction algorithm\",\"authors\":\"K. Kashima, R. Nakamura, A. Kajiwara\",\"doi\":\"10.1109/SAS.2013.6493569\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a bathroom movements monitoring sensor system based on Ultra-Wideband Radio (UWB-IR) is suggested where a Cube Higher-order Local Auto-Correlation (CHLAC) method is employed to estimate some movements of a bathing person against waving from the surface of water in a bathtub. The usefulness of our suggested algorithm is investigated experimentally and it is shown that estimation rate of more than 90% can be attained for various a bathing persons movements in a bathroom.\",\"PeriodicalId\":309610,\"journal\":{\"name\":\"2013 IEEE Sensors Applications Symposium Proceedings\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Sensors Applications Symposium Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAS.2013.6493569\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Sensors Applications Symposium Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2013.6493569","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bathroom movements monitoring UWB sensor with feature extraction algorithm
In this paper, a bathroom movements monitoring sensor system based on Ultra-Wideband Radio (UWB-IR) is suggested where a Cube Higher-order Local Auto-Correlation (CHLAC) method is employed to estimate some movements of a bathing person against waving from the surface of water in a bathtub. The usefulness of our suggested algorithm is investigated experimentally and it is shown that estimation rate of more than 90% can be attained for various a bathing persons movements in a bathroom.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
