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Volumn 90, Issue , 2015, Pages 138-152

Sensor-based human activity recognition system with a multilayered model using time series shapelets

Author keywords

Complex activity; Human activity recognition; Multilayer; Sensor; Time series

Indexed keywords

BASKETBALL; DATA HANDLING; ENERGY EFFICIENCY; MULTILAYERS; SENSORS; TIME SERIES;

EID: 84946708846     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2015.09.024     Document Type: Article
Times cited : (97)

References (77)
  • 1
    • 84881311778 scopus 로고    scopus 로고
    • A survey on human activity recognition using wearable sensors
    • O. Lara, and M. Labrador A survey on human activity recognition using wearable sensors IEEE Commun. Surv. Tutor. 15 3 2013 1192 1209
    • (2013) IEEE Commun. Surv. Tutor. , vol.15 , Issue.3 , pp. 1192-1209
    • Lara, O.1    Labrador, M.2
  • 3
    • 77949681594 scopus 로고    scopus 로고
    • SVM-based multimodal classification of activities of daily living in health smart homes: Sensors, algorithms, and first experimental results
    • A. Fleury, M. Vacher, and N. Noury SVM-based multimodal classification of activities of daily living in health smart homes: sensors, algorithms, and first experimental results IEEE Trans. Informat. Technol. Biomed., 14 2 2010 274 283
    • (2010) IEEE Trans. Informat. Technol. Biomed. , vol.14 , Issue.2 , pp. 274-283
    • Fleury, A.1    Vacher, M.2    Noury, N.3
  • 4
    • 84860459323 scopus 로고    scopus 로고
    • A knowledge-driven approach to activity recognition in smart homes
    • L. Chen, C.D. Nugent, and H. Wang A knowledge-driven approach to activity recognition in smart homes IEEE Trans. Knowl. Data Eng., 24 6 2012 961 974
    • (2012) IEEE Trans. Knowl. Data Eng. , vol.24 , Issue.6 , pp. 961-974
    • Chen, L.1    Nugent, C.D.2    Wang, H.3
  • 5
    • 41549133673 scopus 로고    scopus 로고
    • Activity recognition for the smart hospital
    • D. Sanchez, M. Tentori, and J. Favela Activity recognition for the smart hospital IEEE Intell. Syst., 23 2 2008 50 57
    • (2008) IEEE Intell. Syst. , vol.23 , Issue.2 , pp. 50-57
    • Sanchez, D.1    Tentori, M.2    Favela, J.3
  • 6
    • 42549144677 scopus 로고    scopus 로고
    • Activity-aware computing for healthcare
    • M. Tentori, and J. Favela Activity-aware computing for healthcare IEEE Pervasive Comput., 7 2 2008 51 57
    • (2008) IEEE Pervasive Comput. , vol.7 , Issue.2 , pp. 51-57
    • Tentori, M.1    Favela, J.2
  • 7
    • 33745906533 scopus 로고    scopus 로고
    • A practical approach to recognizing physical activities
    • Springer
    • J. Lester, T. Choudhury, and G. Borriello A practical approach to recognizing physical activities Pervasive Computing 2006 Springer 1 16
    • (2006) Pervasive Computing , pp. 1-16
    • Lester, J.1    Choudhury, T.2    Borriello, G.3
  • 8
    • 79959268097 scopus 로고    scopus 로고
    • The development of an adaptive upper-limb stroke rehabilitation robotic system
    • P. Kan, R. Huq, J. Hoey, R. Goetschalckx, and A. Mihailidis The development of an adaptive upper-limb stroke rehabilitation robotic system J. Neuroeng. Rehabil., 8 1 2011 1 18
    • (2011) J. Neuroeng. Rehabil. , vol.8 , Issue.1 , pp. 1-18
    • Kan, P.1    Huq, R.2    Hoey, J.3    Goetschalckx, R.4    Mihailidis, A.5
  • 9
    • 39449090035 scopus 로고    scopus 로고
    • Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions
    • M. Ermes, J. Parkka, J. Mantyjarvi, and I. Korhonen Detection of daily activities and sports with wearable sensors in controlled and uncontrolled conditions IEEE Trans. Inform. Technol. Biomed., 12 1 2008 20 26
    • (2008) IEEE Trans. Inform. Technol. Biomed. , vol.12 , Issue.1 , pp. 20-26
    • Ermes, M.1    Parkka, J.2    Mantyjarvi, J.3    Korhonen, I.4
  • 10
    • 77958470516 scopus 로고    scopus 로고
    • Human activity recognition using inertial/magnetic sensor units
    • Springer
    • K. Altun, and B. Barshan Human activity recognition using inertial/magnetic sensor units Human Behavior Understanding 2010 Springer 38 51
    • (2010) Human Behavior Understanding , pp. 38-51
    • Altun, K.1    Barshan, B.2
  • 11
    • 77956366233 scopus 로고    scopus 로고
    • A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer
    • A.M. Khan, Y.-K. Lee, S.Y. Lee, and T.-S. Kim A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizer IEEE Trans. Informat. Technol. Biomed., 14 5 2010 1166 1172
    • (2010) IEEE Trans. Informat. Technol. Biomed. , vol.14 , Issue.5 , pp. 1166-1172
    • Khan, A.M.1    Lee, Y.-K.2    Lee, S.Y.3    Kim, T.-S.4
  • 12
    • 46649115341 scopus 로고    scopus 로고
    • Sensor-based abnormal human-activity detection
    • J. Yin, Q. Yang, and J.J. Pan Sensor-based abnormal human-activity detection IEEE Trans. Knowl Data Eng., 20 8 2008 1082 1090
    • (2008) IEEE Trans. Knowl Data Eng. , vol.20 , Issue.8 , pp. 1082-1090
    • Yin, J.1    Yang, Q.2    Pan, J.J.3
  • 14
    • 84878102799 scopus 로고    scopus 로고
    • A review and taxonomy of activity recognition on mobile phones
    • O.D. Incel, M. Kose, and C. Ersoy A review and taxonomy of activity recognition on mobile phones BioNanoScience 3 2 2013 145 171
    • (2013) BioNanoScience , vol.3 , Issue.2 , pp. 145-171
    • Incel, O.D.1    Kose, M.2    Ersoy, C.3
  • 16
    • 54649085095 scopus 로고    scopus 로고
    • Context-awareness in wearable and ubiquitous computing
    • D. Abowd, A.K. Dey, R. Orr, and J. Brotherton Context-awareness in wearable and ubiquitous computing Virtual Real. 3 3 1998 200 211
    • (1998) Virtual Real. , vol.3 , Issue.3 , pp. 200-211
    • Abowd, D.1    Dey, A.K.2    Orr, R.3    Brotherton, J.4
  • 17
    • 84893936376 scopus 로고    scopus 로고
    • A tutorial on human activity recognition using body-worn inertial sensors
    • A. Bulling, U. Blanke, and B. Schiele A tutorial on human activity recognition using body-worn inertial sensors ACM Comput. Surv. (CSUR) 46 3 2014 33
    • (2014) ACM Comput. Surv. (CSUR) , vol.46 , Issue.3 , pp. 33
    • Bulling, A.1    Blanke, U.2    Schiele, B.3
  • 18
    • 75449099590 scopus 로고    scopus 로고
    • Human activity recognition and pattern discovery
    • E. Kim, S. Helal, and D. Cook Human activity recognition and pattern discovery IEEE Pervasive Comput., 9 1 2010 48 53
    • (2010) IEEE Pervasive Comput. , vol.9 , Issue.1 , pp. 48-53
    • Kim, E.1    Helal, S.2    Cook, D.3
  • 21
    • 29344464932 scopus 로고    scopus 로고
    • Unsupervised activity recognition using automatically mined common sense
    • D. Wyatt, M. Philipose, and T. Choudhury Unsupervised activity recognition using automatically mined common sense Proceedings of the AAAI 5 2005 21 27
    • (2005) Proceedings of the AAAI , vol.5 , pp. 21-27
    • Wyatt, D.1    Philipose, M.2    Choudhury, T.3
  • 22
    • 33750113404 scopus 로고    scopus 로고
    • Activity recognition of assembly tasks using body-worn microphones and accelerometers
    • J.A. Ward, P. Lukowicz, G. Troster, and T.E. Starner Activity recognition of assembly tasks using body-worn microphones and accelerometers IEEE Trans. Pattern Anal. Mach. Intell., 28 10 2006 1553 1567
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.10 , pp. 1553-1567
    • Ward, J.A.1    Lukowicz, P.2    Troster, G.3    Starner, T.E.4
  • 25
    • 62549089105 scopus 로고    scopus 로고
    • Efficient duration and hierarchical modeling for human activity recognition
    • T. Duong, D. Phung, H. Bui, and S. Venkatesh Efficient duration and hierarchical modeling for human activity recognition Artif. Intell. 173 7 2009 830 856
    • (2009) Artif. Intell. , vol.173 , Issue.7 , pp. 830-856
    • Duong, T.1    Phung, D.2    Bui, H.3    Venkatesh, S.4
  • 28
    • 57749096982 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. Proceedings of the AAAI 8 2008 1363 1368
    • (2008) Proceedings of the AAAI , vol.8 , pp. 1363-1368
    • Hu, D.H.1    Yang, Q.2
  • 33
    • 84883137316 scopus 로고    scopus 로고
    • Modeling temporal interactions with interval temporal Bayesian networks for complex activity recognition
    • Y. Zhang, E. Swears, N. Larios, Z. Wang, and Q. Ji Modeling temporal interactions with interval temporal Bayesian networks for complex activity recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35 10 2013 2468 2483
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell. , vol.35 , Issue.10 , pp. 2468-2483
    • Zhang, Y.1    Swears, E.2    Larios, N.3    Wang, Z.4    Ji, Q.5
  • 35
    • 79960929336 scopus 로고    scopus 로고
    • A pattern mining approach to sensor-based human activity recognition
    • T. Gu, L. Wang, Z. Wu, X. Tao, and J. Lu A pattern mining approach to sensor-based human activity recognition IEEE Trans. Knowl. Data Eng., 23 9 2011 1359 1372
    • (2011) IEEE Trans. Knowl. Data Eng. , vol.23 , Issue.9 , pp. 1359-1372
    • Gu, T.1    Wang, L.2    Wu, Z.3    Tao, X.4    Lu, J.5
  • 37
    • 84904183969 scopus 로고    scopus 로고
    • Prediction of human activity by discovering temporal sequence patterns
    • K. Li, and Y. Fu Prediction of human activity by discovering temporal sequence patterns IEEE Trans. Pattern Anal. Mach. Intell., 36 8 2014 1644 1657
    • (2014) IEEE Trans. Pattern Anal. Mach. Intell. , vol.36 , Issue.8 , pp. 1644-1657
    • Li, K.1    Fu, Y.2
  • 42
    • 78651360823 scopus 로고    scopus 로고
    • Time series shapelets: A novel technique that allows accurate, interpretable and fast classification
    • L. Ye, and E. Keogh Time series shapelets: a novel technique that allows accurate, interpretable and fast classification Data Min. Knowl. Discov. 22 1-2 2011 149 182
    • (2011) Data Min. Knowl. Discov. , vol.22 , Issue.1-2 , pp. 149-182
    • Ye, L.1    Keogh, E.2
  • 48
    • 0030216085 scopus 로고    scopus 로고
    • Learning the distribution of object trajectories for event recognition
    • N. Johnson, and D. Hogg Learning the distribution of object trajectories for event recognition Image Vis. Comput. 14 8 1996 609 615
    • (1996) Image Vis. Comput. , vol.14 , Issue.8 , pp. 609-615
    • Johnson, N.1    Hogg, D.2
  • 50
    • 0036844204 scopus 로고    scopus 로고
    • View-invariant representation and recognition of actions
    • C. Rao, A. Yilmaz, and M. Shah View-invariant representation and recognition of actions Int. J. Comput. Vis. 50 2 2002 203 226
    • (2002) Int. J. Comput. Vis. , vol.50 , Issue.2 , pp. 203-226
    • Rao, C.1    Yilmaz, A.2    Shah, M.3
  • 56
    • 84929048258 scopus 로고    scopus 로고
    • Kcar: A knowledge-driven approach for concurrent activity recognition
    • J. Ye, G. Stevenson, and S. Dobson Kcar: A knowledge-driven approach for concurrent activity recognition Pervasive Mobile Comput. 19 2015 47 70
    • (2015) Pervasive Mobile Comput. , vol.19 , pp. 47-70
    • Ye, J.1    Stevenson, G.2    Dobson, S.3
  • 57
    • 84885371024 scopus 로고    scopus 로고
    • Hierarchical multi-channel hidden semi-Markov graphical models for activity recognition
    • P. Natarajan, and R. Nevatia Hierarchical multi-channel hidden semi-Markov graphical models for activity recognition Comput. Vis. Image Underst. 117 10 2013 1329 1344
    • (2013) Comput. Vis. Image Underst. , vol.117 , Issue.10 , pp. 1329-1344
    • Natarajan, P.1    Nevatia, R.2
  • 59
    • 78649842200 scopus 로고    scopus 로고
    • Employing description logics in ambient intelligence for modeling and reasoning about complex situations
    • T. Springer, and A.-Y. Turhan Employing description logics in ambient intelligence for modeling and reasoning about complex situations J. Ambient Intell. Smart Environ. 1 3 2009 235 259
    • (2009) J. Ambient Intell. Smart Environ. , vol.1 , Issue.3 , pp. 235-259
    • Springer, T.1    Turhan, A.-Y.2
  • 62
    • 84892882036 scopus 로고    scopus 로고
    • Complex activity recognition using context-driven activity theory and activity signatures
    • S. Saguna, A. Zaslavsky, and D. Chakraborty Complex activity recognition using context-driven activity theory and activity signatures ACM Trans. Comput.-Hum. Interact. (TOCHI) 20 6 2013 32
    • (2013) ACM Trans. Comput.-Hum. Interact. (TOCHI) , vol.20 , Issue.6 , pp. 32
    • Saguna, S.1    Zaslavsky, A.2    Chakraborty, D.3
  • 64
    • 84867136666 scopus 로고    scopus 로고
    • Querying and mining of time series data: Experimental comparison of representations and distance measures
    • H. Ding, G. Trajcevski, P. Scheuermann, X. Wang, and E. Keogh Querying and mining of time series data: experimental comparison of representations and distance measures Proceedings of the VLDB Endowment 1 2 2008 1542 1552
    • (2008) Proceedings of the VLDB Endowment , vol.1 , Issue.2 , pp. 1542-1552
    • Ding, H.1    Trajcevski, G.2    Scheuermann, P.3    Wang, X.4    Keogh, E.5
  • 68
  • 74
    • 77953617522 scopus 로고    scopus 로고
    • Comparative study on classifying human activities with miniature inertial and magnetic sensors
    • K. Altun, B. Barshan, and O. Tunçel Comparative study on classifying human activities with miniature inertial and magnetic sensors Pattern Recogn. 43 10 2010 3605 3620
    • (2010) Pattern Recogn. , vol.43 , Issue.10 , pp. 3605-3620
    • Altun, K.1    Barshan, B.2    Tunçel, O.3
  • 75
    • 84909991117 scopus 로고    scopus 로고
    • Recognizing daily and sports activities in two open source machine learning environments using body-worn sensor units
    • B. Barshan, and M.C. Yüksek Recognizing daily and sports activities in two open source machine learning environments using body-worn sensor units Comput. J. 57 11 2014 1649 1667
    • (2014) Comput. J. , vol.57 , Issue.11 , pp. 1649-1667
    • Barshan, B.1    Yüksek, M.C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.