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Volumn 4222 LNCS - II, Issue , 2006, Pages 560-569

Kernel-based method for automated walking patterns recognition using kinematics data

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; GAIT ANALYSIS; KINEMATICS; LEARNING SYSTEMS; PRINCIPAL COMPONENT ANALYSIS;

EID: 33750345395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 1
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    • Gait characteristics of young and older individuals negotiating a raised surface: Implications for the prevention of falls
    • Begg, R.K., Sparrow, W.A.: Gait Characteristics of Young and Older Individuals Negotiating a Raised Surface: Implications for the Prevention of Falls. Journal of Gerontology: Medical Sciences 55A, (2000) 147-154
    • (2000) Journal of Gerontology: Medical Sciences , vol.55 A , pp. 147-154
    • Begg, R.K.1    Sparrow, W.A.2
  • 2
    • 0001068425 scopus 로고
    • Gait characteristics as a function of age and gender
    • Nigg, B.M., Fisher, V., Ronsky, J.L.: Gait Characteristics as a Function of Age and Gender. Gait and Posture, Vol.2 (1994) 213-220
    • (1994) Gait and Posture , vol.2 , pp. 213-220
    • Nigg, B.M.1    Fisher, V.2    Ronsky, J.L.3
  • 4
    • 18744396086 scopus 로고    scopus 로고
    • Support vector machines for automated gait classification
    • Begg, R.K., Palaniswami, M., and Brendan: Support Vector Machines for Automated Gait Classification, IEEE Trans.Biomed. Eng., Vol. 52 (2005) 828-838
    • (2005) IEEE Trans. Biomed. Eng. , vol.52 , pp. 828-838
    • Begg, R.K.1    Palaniswami, M.2    Brendan3
  • 5
    • 0030940066 scopus 로고    scopus 로고
    • An application of neural networks for distinguishing gait patterns on the basis of hip-knee joint angle diagrams
    • Barton, J.G., Lees, A.: An Application of Neural Networks for Distinguishing Gait Patterns on the Basis of Hip-knee Joint Angle Diagrams. Gait and Posture, Vol. 5 (1997) 28-33
    • (1997) Gait and Posture , vol.5 , pp. 28-33
    • Barton, J.G.1    Lees, A.2
  • 6
    • 0027607306 scopus 로고
    • Assessment of gait pattern using neural networks
    • Holzreiter, S.H., and Kohle, M.E.: Assessment of Gait Pattern Using Neural Networks. Biomech, J., Vol. 26 (1993) 645-651
    • (1993) Biomech, J. , vol.26 , pp. 645-651
    • Holzreiter, S.H.1    Kohle, M.E.2
  • 7
    • 0035143369 scopus 로고    scopus 로고
    • A review of analytical techniques for gait data, part I: Fuzzy, statistical and fractal methods
    • Chau, T.: A Review of Analytical Techniques for Gait Data, Part I: Fuzzy, Statistical and Fractal Methods. Gait Posture, Vol. 13 (2001) 49-66
    • (2001) Gait Posture , vol.13 , pp. 49-66
    • Chau, T.1
  • 8
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scholkopf, B., Smola, A J., Muller, K-R: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Computation, Vol. 10 (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.-R.3
  • 12
    • 0035014847 scopus 로고    scopus 로고
    • Multi-class protein fold recognition using support vector machines and neural networks
    • Ding, C.H.Q., Dubchak, I.: Multi-class Protein Fold Recognition Using Support Vector Machines and Neural Networks. Bioinformatics, Vol. 17 (2001) 349-358
    • (2001) Bioinformatics , vol.17 , pp. 349-358
    • Ding, C.H.Q.1    Dubchak, I.2
  • 13
    • 0037387588 scopus 로고    scopus 로고
    • A comparison of algorithms for detection of spikes in the electroencephalogram
    • Pang, C.C.C., Upton, A.R.M., Shine, G., et al, A comparison of Algorithms for Detection of Spikes in the Electroencephalogram. IEEE Transactions on Biomedical Engineering, Vol.50 (2003) 521-526
    • (2003) IEEE Transactions on Biomedical Engineering , vol.50 , pp. 521-526
    • Pang, C.C.C.1    Upton, A.R.M.2    Shine, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.