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Volumn , Issue , 2013, Pages 403-412

Human activity and motion disorder recognition: Towards smarter interactive cognitive environments

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITIES OF DAILY LIVING; DATA SET; HUMAN ACTIVITIES; HUMAN ACTIVITY RECOGNITION; INNOVATIVE APPROACHES; UBIQUITOUS COMPUTING SYSTEMS;

EID: 84887117517     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (52)

References (42)
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  • 7
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    • july
    • Zhelong Wang, Ming Jiang, Yaohua Hu, and Hongyi Li. An incremental learning method based on probabilistic neural networks and adjustable fuzzy clustering for human activity recognition by using wearable sensors. IEEE Transactions on Information Technology in Biomedicine, 16(4):691 -699, july 2012.
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  • 10
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • L. Bao and S.S. Intille. Activity recognition from user-annotated acceleration data. In Pervasive Computing, pages 1-17. 2004.
    • (2004) In Pervasive Computing , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 11
    • 80054964826 scopus 로고    scopus 로고
    • Activity recognition using cell phone accelerometers
    • March
    • Jennifer R. Kwapisz, Gary M.Weiss, and Samuel A. Moore. Activity recognition using cell phone accelerometers. ACM SIGKDD Explorations Newsletter, 12(2):74-82, March 2011.
    • (2011) ACM SIGKDD Explorations Newsletter , vol.12 , Issue.2 , pp. 74-82
    • Kwapisz, J.R.1    Weiss, G.M.2    Moore, S.A.3
  • 12
    • 77950247206 scopus 로고    scopus 로고
    • Machine learning methods for classifying human physical activity from on-body accelerometers
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    • (2010) Sensors , vol.10 , Issue.2 , pp. 1154-1175
    • Mannini, A.1    Sabatini, A.M.2
  • 13
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    • A survey on human activity recognition using wearable sensors
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    • Lara, O.1    Labrador, M.2
  • 14
    • 33847306107 scopus 로고    scopus 로고
    • How smart are our environments? an updated look at the state of the art
    • Diane J Cook and Sajal K Das. How smart are our environments? an updated look at the state of the art. Pervasive and Mobile Computing, 3(2):53-73, 2007.
    • (2007) Pervasive and Mobile Computing , vol.3 , Issue.2 , pp. 53-73
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  • 18
    • 33745954000 scopus 로고    scopus 로고
    • The design of a portable kit of wireless sensors for naturalistic data collection
    • Emmanuel Tapia, Stephen Intille, Louis Lopez, and Kent Larson. The design of a portable kit of wireless sensors for naturalistic data collection. Pervasive Computing, pages 117-134, 2006.
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    • Tapia, E.1    Intille, S.2    Lopez, L.3    Larson, K.4
  • 22
    • 74849102634 scopus 로고    scopus 로고
    • Activity recognition from acceleration data based on discrete consine transform and svm
    • oct
    • Zhenyu He and Lianwen Jin. Activity recognition from acceleration data based on discrete consine transform and svm. In IEEE International Conference on Systems, Man and Cybernetics, pages 5041 -5044, oct. 2009.
    • (2009) In IEEE International Conference On Systems, Man and Cybernetics , pp. 5041-5044
    • He, Z.1    Jin, L.2
  • 27
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    • Stair climbing detection during daily physical activity using a miniature gyroscope
    • Brian Coley, Bijan Najafi, Anisoara Paraschiv-Ionescu, and Kamiar Aminian. Stair climbing detection during daily physical activity using a miniature gyroscope. Gait & posture, 22(4):287-294, 2005.
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    • (2009) In IEEE International Conference On Robotics and Automation , pp. 2154-2159
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    • In Alois Ferscha and Friedemann Mattern, editors, Pervasive Computing, Springer Berlin Heidelberg
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    • (2004) Lecture Notes In Computer Science , vol.3001 , pp. 158-175
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.