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Volumn 75, Issue 12, 2016, Pages 7257-7270

Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer

Author keywords

k nearest neighbor method; Machine learning; Neural network; Physical activity recognition; Segmentation; Singular value decomposition

Indexed keywords

ACCELEROMETERS; ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE SEGMENTATION; LEARNING ALGORITHMS; LEARNING SYSTEMS; MOBILE DEVICES; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SINGULAR VALUE DECOMPOSITION; STATISTICAL TESTS; TEXT PROCESSING; TIME SERIES;

EID: 84929689201     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-015-2643-0     Document Type: Article
Times cited : (83)

References (39)
  • 1
    • 77958470516 scopus 로고    scopus 로고
    • Human activity recognition using inertial/magnetic sensor units
    • Springer, Berlin Heidelberg
    • Altun K, Barshan B (2010) Human activity recognition using inertial/magnetic sensor units. In: Salah A, Gevers T, Sebe N, Vinciarelli A (eds) Human behavior understanding, volume 6219 of lecture notes in computer science. Springer, Berlin Heidelberg, pp 38–51
    • (2010) of lecture notes in computer science , vol.6219 , pp. 38-51
    • Altun, K.1    Barshan, B.2    Salah, A.3    Gevers, T.4    Sebe, N.5    Vinciarelli, A.6
  • 2
    • 35048842427 scopus 로고    scopus 로고
    • Activity recognition from user-annotated acceleration data
    • Springer, Berlin Heidelberg
    • Bao L, Intille SS (2004) Activity recognition from user-annotated acceleration data. In: Ferscha A, Mattern F (eds) Pervasive computing, volume 3001 of lecture notes in computer science. Springer, Berlin Heidelberg, pp 1–17
    • (2004) of lecture notes in computer science , vol.3001 , pp. 1-17
    • Bao, L.1    Intille, S.S.2    Ferscha, A.3    Mattern, F.4
  • 4
    • 84945709924 scopus 로고
    • On the approximation of curves by line segments using dynamic programming
    • Bellman R (1961) On the approximation of curves by line segments using dynamic programming. Commun ACM 4(6):284
    • (1961) Commun ACM , vol.4 , Issue.6 , pp. 284
    • Bellman, R.1
  • 5
    • 84885227197 scopus 로고    scopus 로고
    • Walk detection and step counting on unconstrained smartphones
    • Brajdic A, Harle R (2013) Walk detection and step counting on unconstrained smartphones. UbiComp 2013 1:225–234
    • (2013) UbiComp 2013 , vol.1 , pp. 225-234
    • Brajdic, A.1    Harle, R.2
  • 6
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2(2):121–167
    • (1998) Data Min Knowl Disc , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.J.C.1
  • 9
    • 0034244011 scopus 로고    scopus 로고
    • Motion pattern and posture: Correctly assessed by calibrated accelerometers
    • Foerster F, Fahrenberg J (2000) Motion pattern and posture: Correctly assessed by calibrated accelerometers. Behav Res Methods Instrum Comput 32(3):450–457
    • (2000) Behav Res Methods Instrum Comput , vol.32 , Issue.3 , pp. 450-457
    • Foerster, F.1    Fahrenberg, J.2
  • 10
    • 82955186902 scopus 로고    scopus 로고
    • International conference on indoor positioning and indoor navigation (IPIN)
    • Goyal P, Ribeiro VJ, Saran H, Kumar A (2011) Strap-down pedestrian dead-reckoning system. In: 2011 International conference on indoor positioning and indoor navigation (IPIN), pp 1–7
    • (2011) pp 1–7
    • Goyal, P.1    Ribeiro, V.J.2    Saran, H.3
  • 12
    • 61849085773 scopus 로고    scopus 로고
    • Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets. In: Engineering in medicine and biology society, 2008, EMBS 2008, 30th annual international conference of the IEEE
    • Khan AM, Lee YK, Kim TS (2008) Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets. In: Engineering in medicine and biology society, 2008, EMBS 2008, 30th annual international conference of the IEEE, pp 5172–5175
    • (2008) pp 5172–5175
    • Khan, A.M.1    Lee, Y.K.2    Kim, T.S.3
  • 14
    • 84975626050 scopus 로고
    • Segmenting time series: A survey and novel approach. In: In an edited volume, data mining in time series databases, published by world scientific. Publishing Company
    • Keogh E, Chu S, Hart D, Pazzani M (1993) Segmenting time series: A survey and novel approach. In: In an edited volume, data mining in time series databases, published by world scientific. Publishing Company, pp 1–22
    • (1993) pp 1–22
    • Keogh, E.1    Chu, S.2    Hart, D.3    Pazzani, M.4
  • 15
    • 80054964826 scopus 로고    scopus 로고
    • Activity recognition using cell phone accelerometers
    • Kwapisz JR, Weiss GM, Moore SA (2011) Activity recognition using cell phone accelerometers. SIGKDD Explor Newsl 12(2):74–82
    • (2011) SIGKDD Explor Newsl , vol.12 , Issue.2 , pp. 74-82
    • Kwapisz, J.R.1    Weiss, G.M.2    Moore, S.A.3
  • 16
    • 7744244536 scopus 로고    scopus 로고
    • An evolutionary approach to pattern-based time series segmentation
    • lai Chung F, Tak chung F, Ng V, Luk RWP (2004) An evolutionary approach to pattern-based time series segmentation. IEEE Trans Evol Comput 8(5):471–489
    • (2004) IEEE Trans Evol Comput , vol.8 , Issue.5 , pp. 471-489
    • lai Chung, F.1    Tak chung, F.2    Ng, V.3    Luk, R.W.P.4
  • 17
    • 84907907778 scopus 로고    scopus 로고
    • Hessian-regularized co-training for social activity recognition
    • Liu W, Li Y, Lin X, Tao D, Wang Y (2014) Hessian-regularized co-training for social activity recognition. PLoS ONE 9:e108474
    • (2014) PLoS ONE , vol.9 , pp. e108474
    • Liu, W.1    Li, Y.2    Lin, X.3    Tao, D.4    Wang, Y.5
  • 18
    • 85027911656 scopus 로고    scopus 로고
    • Multiview hessian regularized logistic regression for action recognition
    • Liu W, Liu H, Tao D, Wang Y, Ke L (2014) Multiview hessian regularized logistic regression for action recognition. In: Signal Processing
    • (2014) In:Signal Processing
    • Liu, W.1    Liu, H.2    Tao, D.3    Wang, Y.4    Ke, L.5
  • 19
    • 84975656164 scopus 로고    scopus 로고
    • Lu K: Large-scale paralleled sparse principal component analysis
    • Liu W, Zhang H, Tao D, Wang Y, Lu K (2014) Large-scale paralleled sparse principal component analysis
    • (2014) Wang Y
    • Liu, W.1    Zhang, H.2    Tao, D.3
  • 22
    • 34249746952 scopus 로고    scopus 로고
    • The clinical orthopedic assessment guide
    • Loudon J (2008) The clinical orthopedic assessment guide. Human Kinetics 2:395–408
    • (2008) Human Kinetics , vol.2 , pp. 395-408
    • Loudon, J.1
  • 23
    • 77950247206 scopus 로고    scopus 로고
    • Machine learning methods for classifying human physical activity from on-body accelerometers
    • Mannini A, Sabatini AM (2010) Machine learning methods for classifying human physical activity from on-body accelerometers. Sensors 10(2):1154–1175
    • (2010) Sensors , vol.10 , Issue.2 , pp. 1154-1175
    • Mannini, A.1    Sabatini, A.M.2
  • 24
    • 84885137724 scopus 로고    scopus 로고
    • Human daily activity recognition with sparse representation using wearable sensors
    • Mi Z, Sawchuk AA (2013) Human daily activity recognition with sparse representation using wearable sensors. IEEE Journal of Biomedical and Health Informatics 17(3):553–560
    • (2013) IEEE Journal of Biomedical and Health Informatics , vol.17 , Issue.3 , pp. 553-560
    • Mi, Z.1    Sawchuk, A.A.2
  • 25
    • 84863237688 scopus 로고    scopus 로고
    • Manifold learning and recognition of human activity using body-area sensors
    • Mi Z, Alexander AS (2011) Manifold learning and recognition of human activity using body-area sensors. 10th International Conference 2:7–13
    • (2011) 10th International Conference , vol.2 , pp. 7-13
    • Mi, Z.1    Alexander, A.S.2
  • 27
    • 33744527362 scopus 로고    scopus 로고
    • Classification of gait patterns in the time-frequency domain
    • Nyan M, Tay F, Seah K, Sitoh Y (2006) Classification of gait patterns in the time-frequency domain. J Biomech 39:2647–2656
    • (2006) J Biomech , vol.39 , pp. 2647-2656
    • Nyan, M.1    Tay, F.2    Seah, K.3    Sitoh, Y.4
  • 28
    • 84861555100 scopus 로고    scopus 로고
    • Detection of (in)activity periods in human body motion using inertial sensors: A comparative study
    • Olivares A, Ramirez J, Gorriz JM, Olivares G, Damas M (2012) Detection of (in)activity periods in human body motion using inertial sensors: A comparative study. Sensors 12(5):5791–5814
    • (2012) Sensors , vol.12 , Issue.5 , pp. 5791-5814
    • Olivares, A.1    Ramirez, J.2    Gorriz, J.M.3    Olivares, G.4    Damas, M.5
  • 29
    • 29344474528 scopus 로고    scopus 로고
    • Activity recognition from accelerometer data. In: Proceedings of the 17th conference on innovative applications of artificial intelligence - Volume 3, IAAI’05. AAAI Press
    • Ravi N, Dandekar N, Mysore P, Littman ML (2005) Activity recognition from accelerometer data. In: Proceedings of the 17th conference on innovative applications of artificial intelligence - Volume 3, IAAI’05. AAAI Press, pp 1541–1546
    • (2005) pp 1541–1546
    • Ravi, N.1    Dandekar, N.2    Mysore, P.3    Littman, M.L.4
  • 32
    • 41149177155 scopus 로고    scopus 로고
    • Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor. In: 2007 11th IEEE international symposium on wearable computers
    • Tapia EM, Intille SS, Haskell W, Larson K, Wright J, King A, Friedman R (2007) Real-time recognition of physical activities and their intensities using wireless accelerometers and a heart rate monitor. In: 2007 11th IEEE international symposium on wearable computers, pp 37–40
    • (2007) pp 37–40
    • Tapia, E.M.1    Intille, S.S.2    Haskell, W.3    Larson, K.4    Wright, J.5    King, A.6    Friedman, R.7
  • 33
    • 84897879449 scopus 로고    scopus 로고
    • Step detection algorithms for accelerometers
    • Master’s thesis, Paper of the E-LAB Master Thesis
    • Thuer G, Verwimp T (Unknown Month 2008) Step detection algorithms for accelerometers. Master’s thesis, Paper of the E-LAB Master Thesis. http://nitarc.be/map/paper/AMBIT_ThuerVerwimp.pdf
    • (2008)
    • Thuer, G.1
  • 35
    • 84975632554 scopus 로고    scopus 로고
    • Face recognition based on manifold learning and renyi entropy
    • Wen-Ming C, Li N (2010) Face recognition based on manifold learning and renyi entropy. Nat Sci 2:49–53
    • (2010) Nat Sci , vol.2 , pp. 49-53
    • Wen-Ming, C.1    Li, N.2
  • 37
    • 79951629966 scopus 로고    scopus 로고
    • Automatic step detection in the accelerometer signal
    • Springer, Berlin Heidelberg
    • Ying H, Silex C, Schnitzer A, Leonhardt S, Schiek M (2007) Automatic step detection in the accelerometer signal. In: Leonhardt S, Falck T, Mähönen P (eds) 4th International workshop on wearable and implantable body sensor networks (BSN 2007), volume 13 of IFMBE proceedings. Springer, Berlin Heidelberg, pp 80–85
    • (2007) of IFMBE proceedings , vol.13 , pp. 80-85
    • Ying, H.1    Silex, C.2    Schnitzer, A.3    Leonhardt, S.4    Schiek, M.5    Leonhardt, S.6    Falck, T.7    Mähönen, P.8
  • 38
    • 84886743058 scopus 로고    scopus 로고
    • Unsupervised posture detection by smartphone accelerometer
    • Yurur O, Liu C-H, Moreno W (2013) Unsupervised posture detection by smartphone accelerometer. Electron Lett 49(8):562–564
    • (2013) Electron Lett , vol.49 , Issue.8 , pp. 562-564
    • Yurur, O.1    Liu, C.-H.2    Moreno, W.3
  • 39
    • 84975599116 scopus 로고    scopus 로고
    • Threshold selection and adjustment for online segmentation of one-stroke finger gestures using single tri-axial accelerometer
    • Zhou Y, Cheng Z, Jing L (2014) Threshold selection and adjustment for online segmentation of one-stroke finger gestures using single tri-axial accelerometer. Multimedia Tools and Applications 70:1–20
    • (2014) Multimedia Tools and Applications , vol.70 , pp. 1-20
    • Zhou, Y.1    Cheng, Z.2    Jing, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.