Dynamic footprint-based user identification system : a novel biometric technique for ubiquitous computing environment = 동적 발자국 기반 사용자 식별 시스템 : 유비쿼터스 컴퓨팅 환경을 위한 새로운 생체측정 기술 a novel biometric technique for ubiquitous computing environment

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The paradigm for using computer is slowly changing from one person-one computer to one person-many computers. This kind of change is named by ubiquitous computing and to realize ubiquitous computing, three key words should be considered, everywhere, invisible and unconsciously. In this paper, a user identification method for the realization of personalized service for ubiquitous home environment is introduced. Biometrics is the automated use of physiological or behavioral characteristics to determine or verify identity. And in view of ubiquitous home environment, easy-to-use biometrics such as gait or footprint is more appropriate than others. But, use of only gait or footprint in real application is not easy by its low recognition rate. This dissertation addresses a new biometrics, dynamic footprint which is defined as a time sequence of footprints during a single gait cycle. So, dynamic footprint is 2D projected information of 3D human walking action and includes both footprint shape information and gait information together. Based on dynamic footprint, three conspicuous problems are considered. One problem is to make a feature, from dynamic footprint, which can represent human footprint shape and to develop a user identification method via this shape feature. Another problem is to make a feature, dynamic footprint, which can represent human gait information and to develop a user identification method via this gait feature. And, the other problem is to develop a combined method which can handle both shape information and gait information together. For the first problem, user identification via footprint shape, we analyzed the previous footprint-based user identification methods and found a fact that the footprint during stepping gives more robust results than the footprint during standing since the most important part in a foot for person identification is the toe part. In addition, the overlapped footprint during a single gait cycle is very similar to the st...
Advisors
Bien, Zeung-Namresearcher변증남researcher
Description
한국과학기술원 : 전기및전자공학전공,
Publisher
한국과학기술원
Issue Date
2004
Identifier
240726/325007  / 000995347
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전기및전자공학전공, 2004.8, [ ix, 111 p. ]

Keywords

UBIQUITOUS COMPUTING; LEVENBERG MARQUART LEARNING; HIDDEN MARKOV MODEL; GAIT; DYNAMIC FOOTPRINT; USER IDENTIFICATION; BIOMETRICS; PERSONALIZED SERVICE; 개인화 서비스; 유비쿼터스 컴퓨팅; 레벤버그 마큇 학습; 은닉 마코프 모델; 걸음걸이; 동적 발자국; 바이오메트릭스; 사용자 식별

URI
http://hdl.handle.net/10203/36036
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=240726&flag=dissertation
Appears in Collection
EE-Theses_Ph.D.(박사논문)
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