E. Erzin, Y. Yemez, A. Tekalp, A. Erçil, Hakan Erdogan, H. Abut
{"title":"人机交互中的多模态人识别","authors":"E. Erzin, Y. Yemez, A. Tekalp, A. Erçil, Hakan Erdogan, H. Abut","doi":"10.1109/MMUL.2006.37","DOIUrl":null,"url":null,"abstract":"The authors combine two different biometric modalities for next-generation vehicles that use biometric person recognition. Next-generation vehicles will undoubtedly feature biometric person recognition as part of an effort to improve the driving experience. Today's technology prevents such systems from operating satisfactorily under adverse conditions. A proposed framework for achieving person recognition successfully combines different biometric modalities, borne out in two case studies.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multimodal Person Recognition for Human-Vehicle Interaction\",\"authors\":\"E. Erzin, Y. Yemez, A. Tekalp, A. Erçil, Hakan Erdogan, H. Abut\",\"doi\":\"10.1109/MMUL.2006.37\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The authors combine two different biometric modalities for next-generation vehicles that use biometric person recognition. Next-generation vehicles will undoubtedly feature biometric person recognition as part of an effort to improve the driving experience. Today's technology prevents such systems from operating satisfactorily under adverse conditions. A proposed framework for achieving person recognition successfully combines different biometric modalities, borne out in two case studies.\",\"PeriodicalId\":290893,\"journal\":{\"name\":\"IEEE Multim.\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Multim.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMUL.2006.37\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Multim.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMUL.2006.37","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multimodal Person Recognition for Human-Vehicle Interaction
The authors combine two different biometric modalities for next-generation vehicles that use biometric person recognition. Next-generation vehicles will undoubtedly feature biometric person recognition as part of an effort to improve the driving experience. Today's technology prevents such systems from operating satisfactorily under adverse conditions. A proposed framework for achieving person recognition successfully combines different biometric modalities, borne out in two case studies.