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Volumn , Issue , 2010, Pages 277-282

An educational and research kit for activity and context recognition from on-body sensors

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITY RECOGNITION; CONTEXT RECOGNITION; HARDWARE AND SOFTWARE; LOW-LATENCY; MULTIPLE SENSORS; ON-BODY; OPEN-SOURCE; PROTOTYPING; SOFTWARE INFRASTRUCTURE; SYNCHRONIZED DATA; USER ACTIVITY; WEARABLE SENSORS; WIRELESS SENSOR NODE;

EID: 77955207933     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BSN.2010.35     Document Type: Conference Paper
Times cited : (18)

References (20)
  • 6
    • 65349144254 scopus 로고    scopus 로고
    • BeTelGeuse: A platform for gathering and processing situational data
    • J. Kukkonen, E. Lagerspetz, P. Nurmi, and M. Andersson, "BeTelGeuse: A platform for gathering and processing situational data," IEEE Pervasive Computing, vol.8, no.2, pp. 49-56, 2009.
    • (2009) IEEE Pervasive Computing , vol.8 , Issue.2 , pp. 49-56
    • Kukkonen, J.1    Lagerspetz, E.2    Nurmi, P.3    Andersson, M.4
  • 9
    • 42549150349 scopus 로고    scopus 로고
    • Rapid prototyping of activity recognition applications
    • D. Bannach, O. Amft, and P. Lukowicz, "Rapid prototyping of activity recognition applications," IEEE Pervasive Computing, vol.7, no.2, pp. 22-31, 2008.
    • (2008) IEEE Pervasive Computing , vol.7 , Issue.2 , pp. 22-31
    • Bannach, D.1    Amft, O.2    Lukowicz, P.3
  • 17
    • 70450179606 scopus 로고    scopus 로고
    • Unsupervised classifier self-calibration through repeated context occurences: Is there robustness against sensor displacement to gain?
    • K. Förster, D. Roggen, and G. Tröster, "Unsupervised classifier self-calibration through repeated context occurences: Is there robustness against sensor displacement to gain?" in Proc. 13th IEEE Int. Symposium on Wearable Computers (ISWC), 2009, pp. 77-84.
    • (2009) Proc. 13th IEEE Int. Symposium on Wearable Computers (ISWC) , pp. 77-84
    • Förster, K.1    Roggen, D.2    Tröster, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.