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Neural Network-based Violonist’s Hand Animation

Kim, Junhwan and Cordier, F. and Magnenat-Thalmann, N.


Abstract: We present a system for the animation of human hand that plays violin. Neural network controls the hand movement. We make use of an optimization method to generate the examples for the neural network training. The musical decision of which finger to use is automatically made by best first search. We will show that the movements of violinist’s hands are physically and musically feasible, and that the musical decisions are consistent with those recommended in the violin pedagogy. A description of system, the results of the decisions, and the animations are presented.


@inproceedings{205,
  booktitle = {Computer Graphics International (CGI)},
  author = {Kim, Junhwan and Cordier, F. and Magnenat-Thalmann, N.},
  title = {Neural Network-based Violonist's Hand Animation},
  publisher = {IEEE Publisher},
  pages = {37-41},
  month = jul,
  year = {2000},
  topic = {Motion Capture, Body Animation and Control}
}