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Volumn , Issue , 2010, Pages 4081-4085

A naturalistic 3D acceleration-based activity dataset & benchmark evaluations

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; BENCHMARK EVALUATION; DATA SETS; DCT COEFFICIENTS; TIME DOMAIN; TRIAXIAL ACCELEROMETER;

EID: 78751538781     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2010.5641790     Document Type: Conference Paper
Times cited : (59)

References (10)
  • 2
    • 39449090035 scopus 로고    scopus 로고
    • Detection of Daily Activities and Sports with Wearable Sensors in Controlled and Uncontrolled Conditions
    • January
    • M. Ermers, J. Pärkkä, et al. Detection of Daily Activities and Sports with Wearable Sensors in Controlled and Uncontrolled Conditions. IEEE Transactions on Information Technology in Biomedicine, vol.12, pp.20-26, January 2008.
    • (2008) IEEE Transactions on Information Technology in Biomedicine , vol.12 , pp. 20-26
    • Ermers, M.1    Pärkkä, J.2
  • 3
    • 0032680130 scopus 로고    scopus 로고
    • Detection of Posture and Motion by Accelerometry: A Validation in Ambulatory Monitoring
    • F. Foerster, M. Smeja, and J. Fahrenberg. Detection of Posture and Motion by Accelerometry: A Validation in Ambulatory Monitoring. Computers in Human Behavior, vol.15, pp.571-583, 1999.
    • (1999) Computers in Human Behavior , vol.15 , pp. 571-583
    • Foerster, F.1    Smeja, M.2    Fahrenberg, J.3
  • 7
    • 33646787680 scopus 로고    scopus 로고
    • Activity and location recognition using wearable sensors
    • S.-W. Lee and K. Mase. Activity and location recognition using wearable sensors. IEEE Pervasive Computing, vol.1(3), pp.24-32, 2002.
    • (2002) IEEE Pervasive Computing , vol.1 , Issue.3 , pp. 24-32
    • Lee, S.-W.1    Mase, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.