{"title":"一种声学异常探测系统","authors":"H. Masubuchi, H. Kobayashi","doi":"10.1109/ROMAN.1993.367715","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the possibility of using emergency screams as an emergency stop button. Conventional emergency stop systems are not feasible when machines are operated by nonengineers, because they do not anything except crying in such case. We adopt wavelet transformation for pre-processing the screams, and we use a neural network for detecting abnormalities in the processed data. This paper shows several numerical experiments to demonstrate the ability of the system.<<ETX>>","PeriodicalId":270591,"journal":{"name":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","volume":"47 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An acoustic abnormal detection system\",\"authors\":\"H. Masubuchi, H. Kobayashi\",\"doi\":\"10.1109/ROMAN.1993.367715\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the possibility of using emergency screams as an emergency stop button. Conventional emergency stop systems are not feasible when machines are operated by nonengineers, because they do not anything except crying in such case. We adopt wavelet transformation for pre-processing the screams, and we use a neural network for detecting abnormalities in the processed data. This paper shows several numerical experiments to demonstrate the ability of the system.<<ETX>>\",\"PeriodicalId\":270591,\"journal\":{\"name\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"volume\":\"47 9\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMAN.1993.367715\",\"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 1993 2nd IEEE International Workshop on Robot and Human Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1993.367715","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, we investigate the possibility of using emergency screams as an emergency stop button. Conventional emergency stop systems are not feasible when machines are operated by nonengineers, because they do not anything except crying in such case. We adopt wavelet transformation for pre-processing the screams, and we use a neural network for detecting abnormalities in the processed data. This paper shows several numerical experiments to demonstrate the ability of the system.<>