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초록
영어
This paper reports some experiments which assess the potential use of a footstep biometric
verification system for a smart home environment. We present a semi-automatic capture system and report results on a database with independent development and evaluation datasets comprised of more than 3500 footsteps collected from 55 persons. We present an optimisation of geometric and holistic feature extraction approaches. An equal error rate of 13% is obtained with holistic features classified with a support vector machine. The database is freely available to the research community.
목차
Abstract
1. Introduction
2. Review of footstep signals and their applications
2.1. Smart Homes
2.2. Biometrics
3. Data capture system and database
4. Experimental work
4.1. Feature Optimisation
4.2. Footstep Recognition Evaluation
5. Conclusions and future work
6. Acknowledgements
7. References
1. Introduction
2. Review of footstep signals and their applications
2.1. Smart Homes
2.2. Biometrics
3. Data capture system and database
4. Experimental work
4.1. Feature Optimisation
4.2. Footstep Recognition Evaluation
5. Conclusions and future work
6. Acknowledgements
7. References
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참고문헌
자료제공 : 네이버학술정보