메뉴 건너뛰기




Volumn , Issue , 2012, Pages 139-146

AALO: Activity recognition in smart homes using Active Learning in the presence of Overlapped activities

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE LEARNING; ACTIVITY RECOGNITION; DATA MINING TECHNIQUES; DATA SETS; EVALUATION OF ACTIVITY; HIDDEN SEMI-MARKOV MODELS; NAIVE BAYESIAN; RAW SENSOR; SMART HOMES; STATE OF THE ART; TIME SLICE;

EID: 84865034931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.4108/icst.pervasivehealth.2012.248600     Document Type: Conference Paper
Times cited : (94)

References (24)
  • 1
    • 0002221136 scopus 로고
    • Fast algorithms for mining association rules
    • R. Agrawal and R. Srikant, "Fast algorithms for mining association rules," in VLDB, 1994.
    • (1994) VLDB
    • Agrawal, R.1    Srikant, R.2
  • 5
    • 80054878713 scopus 로고    scopus 로고
    • An approach for detecting deviations in daily routine for long-term behavior analysis
    • D. Elbert, H. Storf, M. Eisenbarth, O. Ünalan, and M. Schmitt, "An approach for detecting deviations in daily routine for long-term behavior analysis," in PervasiveHealth, 2011.
    • (2011) PervasiveHealth
    • Elbert, D.1    Storf, H.2    Eisenbarth, M.3    Ünalan, O.4    Schmitt, M.5
  • 6
    • 45749146270 scopus 로고    scopus 로고
    • A density-based algorithm for discovering clusters in large spatial databases with noise
    • M. Ester, H. Kriegel, J. Sander, and X. Xu, "A density-based algorithm for discovering clusters in large spatial databases with noise," in KDD, 1996.
    • (1996) KDD
    • Ester, M.1    Kriegel, H.2    Sander, J.3    Xu, X.4
  • 7
    • 77951121833 scopus 로고    scopus 로고
    • An unsupervised approach to activity recognition and segmentation based on object-use fingerprints
    • T. Gu, S. Chen, X. Tao, and J. Lu, "An unsupervised approach to activity recognition and segmentation based on object-use fingerprints," Data Knowl. Eng., vol. 69, no. 6, 2010.
    • (2010) Data Knowl. Eng. , vol.69 , Issue.6
    • Gu, T.1    Chen, S.2    Tao, X.3    Lu, J.4
  • 8
    • 70349333877 scopus 로고    scopus 로고
    • Epsicar: An emerging patterns based approach to sequential, interleaved and concurrent activity recognition
    • T. Gu, Z. Wu, X. Tao, H. K. Pung, and J. Lu, "epsicar: An emerging patterns based approach to sequential, interleaved and concurrent activity recognition," in PerCom, 2009.
    • (2009) PerCom
    • Gu, T.1    Wu, Z.2    Tao, X.3    Pung, H.K.4    Lu, J.5
  • 9
    • 84865000093 scopus 로고    scopus 로고
    • Automatic assessment of cognitive impairment through electronic observation of object usage
    • M. R. Hodges, N. L. Kirsch, M. W. Newman, and M. E. Pollack, "Automatic assessment of cognitive impairment through electronic observation of object usage," in Pervasive, 2010.
    • (2010) Pervasive
    • Hodges, M.R.1    Kirsch, N.L.2    Newman, M.W.3    Pollack, M.E.4
  • 10
    • 70349368335 scopus 로고    scopus 로고
    • Cigar: Concurrent and interleaving goal and activity recognition
    • D. H. Hu and Q. Yang, "Cigar: concurrent and interleaving goal and activity recognition," in AAAI, 2008.
    • (2008) AAAI
    • Hu, D.H.1    Yang, Q.2
  • 11
    • 49249121643 scopus 로고    scopus 로고
    • A long-term evaluation of sensing modalities for activity recognition
    • B. Logan, J. Healey, M. Philipose, E. M. Tapia, and S. Intille, "A long-term evaluation of sensing modalities for activity recognition," in UbiComp, 2007.
    • (2007) UbiComp
    • Logan, B.1    Healey, J.2    Philipose, M.3    Tapia, E.M.4    Intille, S.5
  • 12
    • 77954396558 scopus 로고    scopus 로고
    • Improving activity classification for health applications on mobile devices using active and semisupervised learning
    • B. Longstaff, S. Reddy, and D. Estrin, "Improving activity classification for health applications on mobile devices using active and semisupervised learning," in PervasiveHealth, 2010.
    • (2010) PervasiveHealth
    • Longstaff, B.1    Reddy, S.2    Estrin, D.3
  • 14
    • 68949137209 scopus 로고    scopus 로고
    • Active learning literature survey
    • University of Wisconsin-Madison
    • B. Settles, "Active learning literature survey," University of Wisconsin-Madison, Computer Sciences Technical Report, 2009.
    • (2009) Computer Sciences Technical Report
    • Settles, B.1
  • 15
    • 68149103370 scopus 로고    scopus 로고
    • Activity recognition from sparsely labeled data using multi-instance learning
    • M. Stikic and B. Schiele, "Activity recognition from sparsely labeled data using multi-instance learning," in LoCA, 2009.
    • (2009) LoCA
    • Stikic, M.1    Schiele, B.2
  • 16
    • 85056406608 scopus 로고    scopus 로고
    • Building reliable activity models using hierarchical shrinkage and mined ontology
    • E. M. Tapia, T. Choudhury, and M. Philipose, "Building reliable activity models using hierarchical shrinkage and mined ontology," in Pervasive, 2006.
    • (2006) Pervasive
    • Tapia, E.M.1    Choudhury, T.2    Philipose, M.3
  • 17
    • 4644241838 scopus 로고    scopus 로고
    • Activity recognition in the home using simple and ubiquitous sensors
    • E. M. Tapia, S. S. Intille, and K. Larson, "Activity recognition in the home using simple and ubiquitous sensors," in Pervasive, 2004.
    • (2004) Pervasive
    • Tapia, E.M.1    Intille, S.S.2    Larson, K.3
  • 18
    • 78651405480 scopus 로고    scopus 로고
    • Transferring knowledge of activity recognition across sensor networks
    • T. van Kasteren, G. Englebienne, and B. Kröse, "Transferring knowledge of activity recognition across sensor networks," in Pervasive, 2010.
    • (2010) Pervasive
    • Van Kasteren, T.1    Englebienne, G.2    Kröse, B.3
  • 19
    • 78651539842 scopus 로고    scopus 로고
    • Activity recognition using semi-markov models on real world smart home datasets
    • T. van Kasteren, G. Englebienne, and B. Krose, "Activity recognition using semi-markov models on real world smart home datasets," J. Ambient Intell. Smart Environ., vol. 2, no. 3, 2010.
    • (2010) J. Ambient Intell. Smart Environ. , vol.2 , Issue.3
    • Van Kasteren, T.1    Englebienne, G.2    Krose, B.3
  • 21
    • 70349778496 scopus 로고    scopus 로고
    • Assessing everyday life behavioral rhythms for the older generation
    • G. Virone, "Assessing everyday life behavioral rhythms for the older generation," Pervasive and Mobile Computing, vol. 5, no. 1, 2009.
    • (2009) Pervasive and Mobile Computing , vol.5 , Issue.1
    • Virone, G.1
  • 22
    • 84865005235 scopus 로고    scopus 로고
    • Senscare: Semi-automatic activity summarization system for elderly care
    • P. Wu, H. Peng, J. Zhu, and Y. Zhang, "Senscare: Semi-automatic activity summarization system for elderly care," in MobiCASE, 2011.
    • (2011) MobiCASE
    • Wu, P.1    Peng, H.2    Zhu, J.3    Zhang, Y.4
  • 24
    • 49249124040 scopus 로고    scopus 로고
    • Human activity detection in smart home environment with self- adaptive neural networks
    • H. Zheng, H. Wang, and N. Black, "Human activity detection in smart home environment with self- adaptive neural networks," in ICNSC, 2008.
    • (2008) ICNSC
    • Zheng, H.1    Wang, H.2    Black, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.