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Volumn , Issue , 2013, Pages 437-442

A public domain dataset for human activity recognition using smartphones

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITIES OF DAILY LIVING; ACTIVITY RECOGNITION; CONTEXT INFORMATION; HUMAN ACTIVITY RECOGNITION; HUMAN BODY MOTION; HUMAN-CENTERED COMPUTING; MULTICLASS SUPPORT VECTOR MACHINES; RESEARCH FIELDS;

EID: 84887123513     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1630)

References (19)
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    • Poppe, R.1
  • 5
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • T. Kanade, J. Kittler, J.M. Kleinberg, F. Mattern, J.C. Mitchell, O. Nierstrasz, C. Pandu Rangan, B. Steffen, D. Terzopoulos, D. Tygar, M.Y. Vardi, and A. Ferscha, editors
    • L. Bao and S.S. Intille. Activity recognition from user-annotated acceleration data. In T. Kanade, J. Kittler, J.M. Kleinberg, F. Mattern, J.C. Mitchell, O. Nierstrasz, C. Pandu Rangan, B. Steffen, D. Terzopoulos, D. Tygar, M.Y. Vardi, and A. Ferscha, editors, Pervasive Computing, pages 1-17. 2004.
    • (2004) Pervasive Computing , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 11
    • 33745954000 scopus 로고    scopus 로고
    • The design of a portable kit of wireless sensors for naturalistic data collection
    • E.M. Tapia, S.S. Intille, L. Lopez, and K. Larson. The design of a portable kit of wireless sensors for naturalistic data collection. In Proceedings of PERVASIVE 2006, pages 117-134, 2006.
    • (2006) Proceedings of PERVASIVE 2006 , pp. 117-134
    • Tapia, E.M.1    Intille, S.S.2    Lopez, L.3    Larson, K.4
  • 13
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik. Support-vector networks. Machine learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 15
    • 53949117607 scopus 로고    scopus 로고
    • Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers
    • J.Y. Yang, J.S. Wang, and Y.P. Chen. Using acceleration measurements for activity recognition: An effective learning algorithm for constructing neural classifiers. Pattern recognition letters, 29(16):2213-2220, 2008.
    • (2008) Pattern Recognition Letters , vol.29 , Issue.16 , pp. 2213-2220
    • Yang, J.Y.1    Wang, J.S.2    Chen, Y.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.