{"title":"用于步态识别的声学多普勒声纳","authors":"K. Kalgaonkar, B. Raj","doi":"10.1109/AVSS.2007.4425281","DOIUrl":null,"url":null,"abstract":"A person's gait is a characteristic that might be employed to identify him/her automatically. Conventionally, automatic for gait-based identification of subjects employ video and image processing to characterize gait. In this paper we present an Acoustic Doppler Sensor(ADS) based technique for the characterization of gait. The ADS is very inexpensive sensor that can be built using off-the-shelf components, for under $20 USD at today's prices. We show that remarkably good gait recognition is possible with the ADS sensor.","PeriodicalId":371050,"journal":{"name":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"77","resultStr":"{\"title\":\"Acoustic Doppler sonar for gait recogination\",\"authors\":\"K. Kalgaonkar, B. Raj\",\"doi\":\"10.1109/AVSS.2007.4425281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A person's gait is a characteristic that might be employed to identify him/her automatically. Conventionally, automatic for gait-based identification of subjects employ video and image processing to characterize gait. In this paper we present an Acoustic Doppler Sensor(ADS) based technique for the characterization of gait. The ADS is very inexpensive sensor that can be built using off-the-shelf components, for under $20 USD at today's prices. We show that remarkably good gait recognition is possible with the ADS sensor.\",\"PeriodicalId\":371050,\"journal\":{\"name\":\"2007 IEEE Conference on Advanced Video and Signal Based Surveillance\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"77\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE Conference on Advanced Video and Signal Based Surveillance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AVSS.2007.4425281\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE Conference on Advanced Video and Signal Based Surveillance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AVSS.2007.4425281","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A person's gait is a characteristic that might be employed to identify him/her automatically. Conventionally, automatic for gait-based identification of subjects employ video and image processing to characterize gait. In this paper we present an Acoustic Doppler Sensor(ADS) based technique for the characterization of gait. The ADS is very inexpensive sensor that can be built using off-the-shelf components, for under $20 USD at today's prices. We show that remarkably good gait recognition is possible with the ADS sensor.
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