DocumentCode :
898550
Title :
Multimodal person recognition for human-vehicle interaction
Author :
Erzin, Engin ; Yemez, Yücel ; Tekalp, A. Murat ; Erçil, Aytül ; Erdogan, Hakan ; Abut, Hüseyin
Author_Institution :
Koq Univ., Turkey
Volume :
13
Issue :
2
fYear :
2006
Firstpage :
18
Lastpage :
31
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.
Keywords :
automobile industry; automotive electronics; biometrics (access control); human computer interaction; image recognition; biometric modality; biometric person recognition; human-vehicle interaction; multimodal person recognition; next-generation vehicles; Authentication; Biometrics; Databases; Humans; Image recognition; Signal processing; Speaker recognition; Speech enhancement; Speech recognition; Vehicles; Multimodal person recognition; classifier combining; human-vehicle interaction;
fLanguage :
English
Journal_Title :
MultiMedia, IEEE
Publisher :
ieee
ISSN :
1070-986X
Type :
jour
DOI :
10.1109/MMUL.2006.37
Filename :
1621030
Link To Document :
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