Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder

Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama. Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021. pages 1360-1364, IEEE, 2021. [doi]

@inproceedings{AkamatsuMOH21,
  title = {Classification of Expert-Novice Level Using Eye Tracking And Motion Data via Conditional Multimodal Variational Autoencoder},
  author = {Yusuke Akamatsu and Keisuke Maeda and Takahiro Ogawa and Miki Haseyama},
  year = {2021},
  doi = {10.1109/ICASSP39728.2021.9414361},
  url = {https://doi.org/10.1109/ICASSP39728.2021.9414361},
  researchr = {https://researchr.org/publication/AkamatsuMOH21},
  cites = {0},
  citedby = {0},
  pages = {1360-1364},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021},
  publisher = {IEEE},
  isbn = {978-1-7281-7605-5},
}