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Volumn , Issue , 2009, Pages 67-72

ACTIVITY RECOGNITION IN A DENSE SENSOR NETWORK

Author keywords

activity recognition; motion detectors; sensor network

Indexed keywords

MOTION ANALYSIS; PATTERN RECOGNITION; PROBABILITY DISTRIBUTIONS; SEMANTICS;

EID: 84870167397     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (6)
  • 1
    • 24944462928 scopus 로고    scopus 로고
    • Simultaneous tracking and activity recognition (star) using many anonymous, binary sensors
    • D. Wilson, C. Atkeson, “Simultaneous tracking and activity recognition (star) using many anonymous, binary sensors,” 3rd International Conference on Pervasive Computing, pp. 62-79, 2005.
    • (2005) 3rd International Conference on Pervasive Computing , pp. 62-79
    • Wilson, D.1    Atkeson, C.2
  • 2
    • 46449114077 scopus 로고    scopus 로고
    • Detecting Patterns for Assisted Living Using Sensor Networks
    • Valencia, Spain, October
    • D. Lymberopoulos, et al, “Detecting Patterns for Assisted Living Using Sensor Networks,” Proc. of SensorComm, Valencia, Spain, October 2007.
    • (2007) Proc. of SensorComm
    • Lymberopoulos, D.1
  • 3
    • 50649106160 scopus 로고    scopus 로고
    • A Scalable Approach to Activity Recognition based on Object Use
    • Rio de Janeiro, Brazil, October
    • J. Wu, et al, “A Scalable Approach to Activity Recognition based on Object Use,” ICCV 2007, Rio de Janeiro, Brazil, October 2007.
    • (2007) ICCV 2007
    • Wu, J.1
  • 4
    • 33745346218 scopus 로고    scopus 로고
    • Similarity-based analysis for large networks of ultra-low resolution sensors
    • C. Wren, et al, “Similarity-based analysis for large networks of ultra-low resolution sensors,” Pattern Recognition vol. 39, pp. 1918-1931, 2006.
    • (2006) Pattern Recognition , vol.39 , pp. 1918-1931
    • Wren, C.1
  • 5
    • 4944221356 scopus 로고    scopus 로고
    • Layered Representations for Learning and Inferring Office Activity from Multiple Sensory Channels
    • N. Oliver, et al, “Layered Representations for Learning and Inferring Office Activity from Multiple Sensory Channels,” Computer Vision and Image Understanding, vol. 96, pp. 163-180, 2004.
    • (2004) Computer Vision and Image Understanding , vol.96 , pp. 163-180
    • Oliver, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.