Earticle

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

저자

• Rubén Vera Rodríguez [ Swansea University, Singleton Park, Swansea, SA2 8PP, UK ]
• Richard P. Lewis [ Swansea University, Singleton Park, Swansea, SA2 8PP, UK ]
• John S. D. Mason [ Swansea University, Singleton Park, Swansea, SA2 8PP, UK ]
• Nicholas W. D. Evans [ Institut Eurecom, 2229 route des Crêtes, 06904 Sophia Antipolis, France Swansea University, Singleton Park, Swansea, SA2 8PP, UK ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605