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Volumn 13, Issue , 2013, Pages 47-56

A Web-based semantic tagging and activity recognition system for species' accelerometry data

Author keywords

Animal activity recognition; Semantic annotation; Support vector machines; Tri axial accelerometer data; Visualization

Indexed keywords

ACCELEROMETER; ACTIVITY PATTERN; BEHAVIORAL ECOLOGY; CLASSIFICATION; COST-BENEFIT ANALYSIS; DATA SET; MATURATION; MEASUREMENT METHOD; NUMERICAL MODEL; OBSERVATIONAL METHOD; RECOGNITION; TAGGING; THREE-DIMENSIONAL MODELING; VISUALIZATION;

EID: 84870488817     PISSN: 15749541     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecoinf.2012.09.003     Document Type: Article
Times cited : (34)

References (30)
  • 5
    • 0003710380 scopus 로고    scopus 로고
    • LIBSVM: a library for support vector machines
    • Department of Computer Science and Information Engineering, Taipei
    • Chang C.-C., Lin C.-J. LIBSVM: a library for support vector machines. Technical Report 2011, 1-39. Department of Computer Science and Information Engineering, Taipei.
    • (2011) Technical Report , pp. 1-39
    • Chang, C.-C.1    Lin, C.-J.2
  • 7
    • 33846847559 scopus 로고    scopus 로고
    • An individual-based method to measure animal activity levels: a test on brown bears
    • Gervasi V., Brunberg S., Swenson J.E. An individual-based method to measure animal activity levels: a test on brown bears. Wildlife Society Bulletin 2006, 34:1314-1319.
    • (2006) Wildlife Society Bulletin , vol.34 , pp. 1314-1319
    • Gervasi, V.1    Brunberg, S.2    Swenson, J.E.3
  • 8
    • 67650000164 scopus 로고    scopus 로고
    • Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model
    • Guo Y., Poulton G., Corke P., Bishop-Hurley G.J., Wark T., Swain D.L. Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model. Ecological Modelling 2009, 220:2068-2075.
    • (2009) Ecological Modelling , vol.220 , pp. 2068-2075
    • Guo, Y.1    Poulton, G.2    Corke, P.3    Bishop-Hurley, G.J.4    Wark, T.5    Swain, D.L.6
  • 11
    • 78049302715 scopus 로고    scopus 로고
    • Implementation of HMM-based human activity recognition using single triaxial accelerometer
    • Han C.W., Kang S.J., Kim N.S. Implementation of HMM-based human activity recognition using single triaxial accelerometer. IEICE Transactions 2010, E93-A:1379-1383.
    • (2010) IEICE Transactions , vol.E93-A , pp. 1379-1383
    • Han, C.W.1    Kang, S.J.2    Kim, N.S.3
  • 12
    • 61849085773 scopus 로고    scopus 로고
    • Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets
    • IEEE, Vancouver
    • Khan A.M., Lee Y.K., Kim T.S. Accelerometer signal-based human activity recognition using augmented autoregressive model coefficients and artificial neural nets. 30th Annual International Conference of the IEEE 2008, 5172-5175. IEEE, Vancouver.
    • (2008) 30th Annual International Conference of the IEEE , pp. 5172-5175
    • Khan, A.M.1    Lee, Y.K.2    Kim, T.S.3
  • 15
    • 79953118834 scopus 로고    scopus 로고
    • Physical activity classification using a single triaxial accelerometer based on HMM, Wireless Sensor Network, 2010
    • Li A., Ji L., Wang S., Wu J. Physical activity classification using a single triaxial accelerometer based on HMM, Wireless Sensor Network, 2010. IET-WSN. IET International Conference on, Beijing 2010, 155-160.
    • (2010) IET-WSN. IET International Conference on, Beijing , pp. 155-160
    • Li, A.1    Ji, L.2    Wang, S.3    Wu, J.4
  • 19
    • 84858640770 scopus 로고    scopus 로고
    • Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures
    • Nathan R., Spiegel O., Fortmann-Roe S., Harel R., Wikelski M., Getz W.M. Using tri-axial acceleration data to identify behavioral modes of free-ranging animals: general concepts and tools illustrated for griffon vultures. Applied Animal Behaviour Science 2012, 215:986-996.
    • (2012) Applied Animal Behaviour Science , vol.215 , pp. 986-996
    • Nathan, R.1    Spiegel, O.2    Fortmann-Roe, S.3    Harel, R.4    Wikelski, M.5    Getz, W.M.6
  • 21
    • 77957109623 scopus 로고    scopus 로고
    • Quantifying walking and standing behaviour of dairy cows using a moving average based on output from an accelerometer
    • Nielsen L.R., Pedersen A.R., Herskin M.S., Munksgaard L. Quantifying walking and standing behaviour of dairy cows using a moving average based on output from an accelerometer. Applied Animal Behaviour Science 2010, 127:12-19.
    • (2010) Applied Animal Behaviour Science , vol.127 , pp. 12-19
    • Nielsen, L.R.1    Pedersen, A.R.2    Herskin, M.S.3    Munksgaard, L.4
  • 23
    • 78549236445 scopus 로고    scopus 로고
    • Validation of accelerometers to automatically record sow postures and stepping behaviour
    • Ringgenberg N., Bergeron R., Devillers N. Validation of accelerometers to automatically record sow postures and stepping behaviour. Applied Animal Behaviour Science 2010, 128:37-44.
    • (2010) Applied Animal Behaviour Science , vol.128 , pp. 37-44
    • Ringgenberg, N.1    Bergeron, R.2    Devillers, N.3
  • 25
    • 0004014214 scopus 로고    scopus 로고
    • Chapter 8 the discrete Fourier transform
    • California Technical Publishing, San Diego, California
    • Smith S.W. Chapter 8 the discrete Fourier transform. The Scientist and Engineer's Guide to Digital Signal Processing 1999, 141-168. California Technical Publishing, San Diego, California. Second ed.
    • (1999) The Scientist and Engineer's Guide to Digital Signal Processing , pp. 141-168
    • Smith, S.W.1
  • 28
    • 53949117607 scopus 로고    scopus 로고
    • Using acceleration measurements for activity recognition: an effective learning algorithm for constructing neural classifiers
    • Yang J.-Y., Wang J.-S., Chen Y.-P. Using acceleration measurements for activity recognition: an effective learning algorithm for constructing neural classifiers. Pattern Recognition Letters 2008, 29:2213-2220.
    • (2008) Pattern Recognition Letters , vol.29 , pp. 2213-2220
    • Yang, J.-Y.1    Wang, J.-S.2    Chen, Y.-P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.