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Volumn , Issue , 2014, Pages 3537-3540

Estimation of continuous multi-DOF finger joint kinematics from surface EMG using a multi-output Gaussian Process

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; DEGREES OF FREEDOM (MECHANICS); ELECTROMYOGRAPHY; EXOSKELETON (ROBOTICS); GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); JOINTS (ANATOMY); KINEMATICS; NEURAL NETWORKS;

EID: 84929494192     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2014.6944386     Document Type: Conference Paper
Times cited : (21)

References (11)
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    • (2012) J. Neuroeng. & Rehab. , vol.9
    • Jiang, N.1    Vest-Nielsen, J.2    Muceli, S.3    Farina, D.4
  • 2
    • 80051786361 scopus 로고    scopus 로고
    • Exploring human hand capabilities into embedded multifin-gered object manipulation
    • IEEE Transactions on Aug
    • H. Liu, "Exploring human hand capabilities into embedded multifin-gered object manipulation," Industrial Informatics, IEEE Transactions on, Vol. 7, pp. 389-398, Aug 2011.
    • (2011) Industrial Informatics , vol.7 , pp. 389-398
    • Liu, H.1
  • 3
    • 3042597151 scopus 로고    scopus 로고
    • Neural-based control of a robotic hand: Evidence for distinct muscle strategies
    • IEEE International Conference on
    • P. Afshar and Y. Matsuoka, "Neural-based control of a robotic hand: evidence for distinct muscle strategies," in Robotics and Automation, IEEE International Conference on, Vol. 5, pp. 4633-4638, 2004.
    • (2004) Robotics and Automation , vol.5 , pp. 4633-4638
    • Afshar, P.1    Matsuoka, Y.2
  • 5
    • 11144267104 scopus 로고    scopus 로고
    • Analysis of the synergies underlying complex hand manipulation
    • E. Todorov and Z. Ghahramani, "Analysis of the synergies underlying complex hand manipulation," in 26th Int. IEEE EMBS Conf., 2004.
    • (2004) 26th Int. IEEE EMBS Conf.
    • Todorov, E.1    Ghahramani, Z.2
  • 6
    • 84929499514 scopus 로고    scopus 로고
    • Estimation of finger joint angles from sEMG using a neural network including time delay factor and recurrent structure
    • M. Hioki and H. Kawasaki, "Estimation of finger joint angles from sEMG using a neural network including time delay factor and recurrent structure," Int. Scholarly Research Network (ISRN) Rehab., 2012.
    • (2012) Int. Scholarly Research Network (ISRN) Rehab.
    • Hioki, M.1    Kawasaki, H.2
  • 7
    • 84882933160 scopus 로고    scopus 로고
    • Continuous estimation of finger joint angles using muscle activation inputs from surface EMG signals
    • J. Ngeo, T. Tamei, and T. Shibata, "Continuous estimation of finger joint angles using muscle activation inputs from surface EMG signals," in 34th International IEEE EMBS Conference, pp. 2756-2759, 2012.
    • (2012) 34th International IEEE EMBS Conference , pp. 2756-2759
    • Ngeo, J.1    Tamei, T.2    Shibata, T.3
  • 9
    • 8644285417 scopus 로고    scopus 로고
    • Neuromuscu-loskeletal modeling: Estimation of muscle forces & joint moments and movements from measurements of neural command
    • November
    • T. Buchanan, D. Lloyd, K. Manal, and T. Besier, "Neuromuscu-loskeletal modeling: Estimation of muscle forces & joint moments and movements from measurements of neural command," Journal of Applied Biomechanics, Vol. 20(4), pp. 367-395, November 2004.
    • (2004) Journal of Applied Biomechanics , vol.20 , Issue.4 , pp. 367-395
    • Buchanan, T.1    Lloyd, D.2    Manal, K.3    Besier, T.4
  • 10
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    • Sparse convolved Gaussian processes for multi-output regression
    • M. Alvarez and N. Lawrence, "Sparse convolved Gaussian processes for multi-output regression," in NIPS, Vol. 21, pp. 57-64, 2008.
    • (2008) NIPS , vol.21 , pp. 57-64
    • Alvarez, M.1    Lawrence, N.2
  • 11
    • 84875175471 scopus 로고    scopus 로고
    • A framework for evaluating approximation methods for Gaussian process regression
    • K. Chalupka, C. Williams, and I. Murray, "A framework for evaluating approximation methods for Gaussian process regression," The Journal of Machine Learning Research, Vol. 14(1), pp. 333-350, 2013.
    • (2013) The Journal of Machine Learning Research , vol.14 , Issue.1 , pp. 333-350
    • Chalupka, K.1    Williams, C.2    Murray, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.