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Volumn , Issue , 2007, Pages 1093-1098

Conjugate prior penalized learning of gaussian mixture models for EMG pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

ARSENIC COMPOUNDS; BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); EDUCATION; FEATURE EXTRACTION; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; MAGNETOSTRICTIVE DEVICES; OBJECT RECOGNITION; PATTERN RECOGNITION; ROBOTICS; TRELLIS CODES; UNCERTAINTY ANALYSIS;

EID: 51349089111     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399330     Document Type: Conference Paper
Times cited : (10)

References (14)
  • 1
    • 0035088706 scopus 로고    scopus 로고
    • A wavelet-based continuous classification scheme for multifunction myoelectric control
    • Mar
    • K. Englehart, B. Hudgins, and P. A. Parker, "A wavelet-based continuous classification scheme for multifunction myoelectric control," IEEE Trans. Biomed. Eng., vol. 48, no. 3, pp. 302-311, Mar. 2001.
    • (2001) IEEE Trans. Biomed. Eng , vol.48 , Issue.3 , pp. 302-311
    • Englehart, K.1    Hudgins, B.2    Parker, P.A.3
  • 2
    • 0042664129 scopus 로고    scopus 로고
    • A robust, real-time control scheme for multifunction myoelectric control
    • July
    • K. Englehart and B. Hudgins, "A robust, real-time control scheme for multifunction myoelectric control," IEEE Trans. Biomed. Eng., vol. 50, no. 7, pp. 848-854, July 2003.
    • (2003) IEEE Trans. Biomed. Eng , vol.50 , Issue.7 , pp. 848-854
    • Englehart, K.1    Hudgins, B.2
  • 3
    • 33750334730 scopus 로고    scopus 로고
    • A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand
    • Nov
    • J. U. Chu, I. Moon, and M. S. Mun, "A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand," IEEE Trans. Biomed. Eng., vol. 53, no. 11, pp. 2232-2239, Nov. 2006.
    • (2006) IEEE Trans. Biomed. Eng , vol.53 , Issue.11 , pp. 2232-2239
    • Chu, J.U.1    Moon, I.2    Mun, M.S.3
  • 4
    • 0027135489 scopus 로고
    • A new strategy for multifunction myoelectric control
    • Jan
    • B. Hudgins, P. A. Parker, and R. N. Scott, "A new strategy for multifunction myoelectric control," IEEE Trans. Biomed. Eng., vol. 40, no. 1, pp. 82-94, Jan. 1993.
    • (1993) IEEE Trans. Biomed. Eng , vol.40 , Issue.1 , pp. 82-94
    • Hudgins, B.1    Parker, P.A.2    Scott, R.N.3
  • 6
    • 0037389652 scopus 로고    scopus 로고
    • A human-assisting manipulator teleoperated by EMG signals and arm motions
    • Apr
    • O. Fukuda, T. Tsuji, M. Kaneko, and A. Otuka, "A human-assisting manipulator teleoperated by EMG signals and arm motions," IEEE Trans. Robot. Automat., vol. 19, no. 2, pp. 210-222, Apr. 2003.
    • (2003) IEEE Trans. Robot. Automat , vol.19 , Issue.2 , pp. 210-222
    • Fukuda, O.1    Tsuji, T.2    Kaneko, M.3    Otuka, A.4
  • 7
    • 27644466209 scopus 로고    scopus 로고
    • A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses
    • Nov
    • Y. Huang, K. B. Englehart, B. Hudgins, and A. D. C. Chan, "A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses," IEEE Trans. Biomed. Eng, vol. 52, no. 11, pp. 1801-1811, Nov. 2004.
    • (2004) IEEE Trans. Biomed. Eng , vol.52 , Issue.11 , pp. 1801-1811
    • Huang, Y.1    Englehart, K.B.2    Hudgins, B.3    Chan, A.D.C.4
  • 8
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin, "Maximum likelihood from incomplete data via the EM algorithm," J. Roy. Statist. Soc. B, vol. 39, pp. 1-38, 1977.
    • (1977) J. Roy. Statist. Soc. B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 11
    • 0010815660 scopus 로고
    • MDL and MML: Similarities and Differences,
    • Dept. of Computer Science, Monash Univ, Clayton, Victoria 3168, Austalia
    • R. A. Baxter and J. J. Oliver, "MDL and MML: Similarities and Differences," Technical Report TR 207, Dept. of Computer Science, Monash Univ., Clayton, Victoria 3168, Austalia, 1994.
    • (1994) Technical Report TR , vol.207
    • Baxter, R.A.1    Oliver, J.J.2
  • 12
    • 0032122727 scopus 로고    scopus 로고
    • Averaging, Maximum Penalized Likelihood and Bayesian Estimation for Improving Gaussian Mixture Probability Density Estimates
    • July
    • D. Ormoneit and V. Tresp, "Averaging, Maximum Penalized Likelihood and Bayesian Estimation for Improving Gaussian Mixture Probability Density Estimates," IEEE Trans. Neural Networks, vol. 9, no. 4, pp. 639-650, July 1998.
    • (1998) IEEE Trans. Neural Networks , vol.9 , Issue.4 , pp. 639-650
    • Ormoneit, D.1    Tresp, V.2
  • 13
    • 0039814273 scopus 로고    scopus 로고
    • Modelling Conditional Probability Densities With Neural Networks,
    • PhD Thesis, Dept. of Mathematics, King's College, Univ. of London
    • D. Husmeier, "Modelling Conditional Probability Densities With Neural Networks," PhD Thesis, Dept. of Mathematics, King's College, Univ. of London, 1997.
    • (1997)
    • Husmeier, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.