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Volumn , Issue , 2011, Pages 15-21

Scenario test of accelerometer-based biometric gait recognition

Author keywords

accelerometer; biometrics; gait recognition; mobile device; scenario test

Indexed keywords

ACCELEROMETERS; AUTHENTICATION; BIOMETRICS; GAIT ANALYSIS; MOBILE DEVICES; TELEPHONE SETS;

EID: 84903605052     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWSCN.2011.6827712     Document Type: Conference Paper
Times cited : (53)

References (13)
  • 7
    • 78149310030 scopus 로고    scopus 로고
    • A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine
    • S. Sprager, "A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine," in Sensors, Signals, Visualization, Imaging, Simulation and Materials, 2009, pp. 94-99.
    • (2009) Sensors, Signals, Visualization, Imaging, Simulation and Materials , pp. 94-99
    • Sprager, S.1
  • 8
    • 85037142831 scopus 로고    scopus 로고
    • Walk the walk: Attacking gait biometrics by imitation
    • M. Burmester, G. Tsudik, S. Magliveras, and I. Ilic, Eds. Springer Berlin / Heidelberg
    • B. Mjaaland, P. Bours, and D. Gligoroski, "Walk the walk: Attacking gait biometrics by imitation," in Information Security, ser. Lecture Notes in Computer Science, M. Burmester, G. Tsudik, S. Magliveras, and I. Ilic, Eds. Springer Berlin / Heidelberg, 2011, vol. 6531, pp. 361-380.
    • (2011) Information Security, Ser. Lecture Notes in Computer Science , vol.6531 , pp. 361-380
    • Mjaaland, B.1    Bours, P.2    Gligoroski, D.3
  • 12
    • 84892355208 scopus 로고    scopus 로고
    • Secaucus, NJ, USA: Springer-Verlag New York, Inc., ch. 4 - Dynamic Time Warping
    • M. Müller, Information Retrieval for Music and Motion. Secaucus, NJ, USA: Springer-Verlag New York, Inc., 2007, ch. 4 - Dynamic Time Warping.
    • (2007) Information Retrieval for Music and Motion
    • Müller, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.