메뉴 건너뛰기




Volumn , Issue , 2009, Pages 392-397

Enabling efficient time series analysis for wearable activity data

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; HIGH RESOLUTION; HUMAN ACTIVITIES; LARGE DATASETS; MATCHING ALGORITHM; PHYSICAL ACTION; PIECEWISE LINEAR APPROXIMATIONS; RECENT PROGRESS; WEARABLE SENSORS;

EID: 77950786726     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2009.112     Document Type: Conference Paper
Times cited : (24)

References (16)
  • 2
    • 33750113404 scopus 로고    scopus 로고
    • Activity recognition of assembly tasks using body-worn microphones and accelerometers
    • J. A. Ward, P. Lukowicz, G. Tröster, and T. E. Starner, "Activity recognition of assembly tasks using body-worn microphones and accelerometers," IEEE Trans. Pattern Anal. Mach. Intell., vol.28, no.10, pp. 1553-1567, 2006.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.10 , pp. 1553-1567
    • Ward, J.A.1    Lukowicz, P.2    Tröster, G.3    Starner, T.E.4
  • 9
    • 34548093287 scopus 로고    scopus 로고
    • Experiencing SAX: A novel symbolic representation of time series
    • J. Lin, E. Keogh, L. Wei, and S. Lonardi, "Experiencing SAX: a novel symbolic representation of time series," DMKD Journal, 2007.
    • (2007) DMKD Journal
    • Lin, J.1    Keogh, E.2    Wei, L.3    Lonardi, S.4
  • 10
    • 65449164304 scopus 로고    scopus 로고
    • iSAX: Indexing and mining terabyte sized time series
    • J. Shieh and E. Keogh, "iSAX: Indexing and mining terabyte sized time series," in SIGKDD 2008, 2008.
    • (2008) SIGKDD 2008
    • Shieh, J.1    Keogh, E.2
  • 16
    • 67349287486 scopus 로고    scopus 로고
    • Faster retrieval with a two-pass dynamic-timewarping lower bound
    • D. Lemire, "Faster retrieval with a two-pass dynamic-timewarping lower bound," Pattern Recogn., vol.42, no.9, pp. 2169-2180, 2009.
    • (2009) Pattern Recogn. , vol.42 , Issue.9 , pp. 2169-2180
    • Lemire, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.