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Volumn , Issue , 2014, Pages 36-40

Dealing with human variability in motion based, wearable activity recognition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMMUNICATION; IMAGE RECOGNITION; MOTION ESTIMATION;

EID: 84901378067     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PerComW.2014.6815161     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 1
    • 84856229476 scopus 로고    scopus 로고
    • Continuous activity recognition in a maintenance scenario: Combining motion sensors and ultrasonic hands tracking
    • G. Ogris, P. Lukowicz, T. Stiefmeier, and G. Troster, Continuous activity recognition in a maintenance scenario: combining motion sensors and ultrasonic hands tracking, Pattern Analysis and Applications, vol. 15, no. 1, pp. 87-111, 2012
    • (2012) Pattern Analysis and Applications , vol.15 , Issue.1 , pp. 87-111
    • Ogris, G.1    Lukowicz, P.2    Stiefmeier, T.3    Troster, G.4
  • 3
    • 68149089841 scopus 로고    scopus 로고
    • LoCA, ser. Lecture Notes in Computer Science, T. Choudhury, A. J. Quigley, T. Strang, and K. Suginuma, Eds Springer
    • A. Zinnen, C. Wojek, and B. Schiele, Multi activity recognition based on bodymodel-derived primitives. in LoCA, ser. Lecture Notes in Computer Science, T. Choudhury, A. J. Quigley, T. Strang, and K. Suginuma, Eds., vol. 5561. Springer, 2009, pp. 1-18
    • (2009) Multi Activity Recognition Based on Bodymodel-derived Primitives , vol.5561 , pp. 1-18
    • Zinnen, A.1    Wojek, C.2    Schiele, B.3
  • 4
    • 84901348719 scopus 로고    scopus 로고
    • Allowing early inspection of activity data from a highly distributed bodynet with a hierarchical-clustering-of-segments approach
    • IEEE Press. Boston, MA: IEEE Press
    • M. Kreil, K. Van Laerhoven, and P. Lukowicz, Allowing early inspection of activity data from a highly distributed bodynet with a hierarchical-clustering- of-segments approach, in IEEE BSN, IEEE Press. Boston, MA: IEEE Press, 2013
    • (2013) IEEE BSN
    • Kreil, M.1    Van Laerhoven, K.2    Lukowicz, P.3
  • 6
    • 33646787680 scopus 로고    scopus 로고
    • Activity and location recognition using wearable sensors
    • S. woo Lee and K. Mase, Activity and location recognition using wearable sensors, IEEE Pervasive Computing, vol. 1, pp. 24-32, 2002
    • (2002) IEEE Pervasive Computing , vol.1 , pp. 24-32
    • Woo Lee, S.1    Mase, K.2
  • 7
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-Annotated acceleration data
    • Springer
    • L. Bao and S. S. Intille, Activity recognition from user-Annotated acceleration data, in Pervasive Computing. Springer, 2004, pp. 1-17
    • (2004) Pervasive Computing , pp. 1-17
    • Bao, L.1    Intille, S.S.2
  • 8
    • 33646343188 scopus 로고    scopus 로고
    • Context-Aware mobile computing: Learning context-dependent personal preferences from a wearable sensor array
    • A. Krause, A. Smailagic, and D. P. Siewiorek, Context-Aware mobile computing: Learning context-dependent personal preferences from a wearable sensor array, IEEE Transactions on Mobile Computing, vol. 5, no. 2, pp. 113-127, 2006
    • (2006) IEEE Transactions on Mobile Computing , vol.5 , Issue.2 , pp. 113-127
    • Krause, A.1    Smailagic, A.2    Siewiorek, D.P.3
  • 10
    • 38949199019 scopus 로고    scopus 로고
    • Gesture spotting with body-worn inertial sensors to detect user activities
    • H. Junker, O. Amft, P. Lukowicz, and G. Troster, Gesture spotting with body-worn inertial sensors to detect user activities, Pattern Recognition, vol. 41, no. 6, pp. 2010-2024, 2008
    • (2008) Pattern Recognition , vol.41 , Issue.6 , pp. 2010-2024
    • Junker, H.1    Amft, O.2    Lukowicz, P.3    Troster, G.4
  • 12
    • 67649404577 scopus 로고    scopus 로고
    • On-line motif detection in time series with SwiftMotif
    • E. Fuchs, T. Gruber, J. Nitschke, and B. Sick, On-line motif detection in time series with SwiftMotif, Pattern Recognition, vol. 42, no. 11, pp. 3015-3031, 2009
    • (2009) Pattern Recognition , vol.42 , Issue.11 , pp. 3015-3031
    • Fuchs, E.1    Gruber, T.2    Nitschke, J.3    Sick, B.4
  • 13
    • 78649485974 scopus 로고    scopus 로고
    • Temporal data mining using shape space representations of time series
    • E. Fuchs, T. Gruber, H. Pree, and B. Sick, Temporal data mining using shape space representations of time series, Neurocomputing, vol. 74, no. 1, pp. 379-393, 2010.
    • (2010) Neurocomputing , vol.74 , Issue.1 , pp. 379-393
    • Fuchs, E.1    Gruber, T.2    Pree, H.3    Sick, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.