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Volumn 13, Issue , 2007, Pages 59-64

Groggy wakeup - automated generation of power-efficient detection hierarchies for wearable sensors

Author keywords

Costbased classification; Power efficient sensing; Tiered wakeup; Wearable gait monitoring

Indexed keywords

BODY SENSOR NETWORKS; DECISION TREES; ECONOMIC AND SOCIAL EFFECTS; SENSOR NODES; SUPPORT VECTOR MACHINES; TREES (MATHEMATICS);

EID: 84885033299     PISSN: 16800737     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-70994-7_10     Document Type: Conference Paper
Times cited : (5)

References (16)
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    • J. P. DiMarco. Inplantable cardioverter-defibrillators. New England Journal of Medicine, 349(19): 1836-1847, 2003.
    • (2003) New England Journal of Medicine , vol.349 , Issue.19 , pp. 1836-1847
    • Dimarco, J.P.1
  • 3
    • 1542363347 scopus 로고    scopus 로고
    • A wireless modular sensor architecture and its application in on-shoe gait analysis
    • Ari Y. Benbasat, Stacy J. Morris, and Joseph A. Paradiso. A wireless modular sensor architecture and its application in on-shoe gait analysis. IEEE Sensors 2003.
    • (2003) IEEE Sensors
    • Benbasat, A.Y.1    Morris, S.J.2    Paradiso, J.A.3
  • 4
    • 33744924736 scopus 로고    scopus 로고
    • Design of a wireless sensor network platform for detecting rare, random and ephemeral events
    • P. Dutta et al. Design of a wireless sensor network platform for detecting rare, random and ephemeral events. IPSN 2005.
    • (2005) IPSN
    • Dutta, P.1
  • 5
    • 84885042178 scopus 로고    scopus 로고
    • University of Calfornia Berkeley. IPSN '05 talk
    • P. Dutta, University of Calfornia Berkeley. IPSN '05 talk.
    • Dutta, P.1
  • 14
    • 0025726374 scopus 로고
    • Foot pressure distribution during walking and shuffling
    • May
    • H. Zhu, J. Wertsch, et al. Foot pressure distribution during walking and shuffling. Arch Phys Med Rehabil, 72:390-397, May 1991.
    • (1991) Arch Phys Med Rehabil , vol.72 , pp. 390-397
    • Zhu, H.1    Wertsch, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.