Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals

Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa 0001, Miki Haseyama. Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals. In 12th IEEE Global Conference on Consumer Electronics, GCCE 2023, Nara, Japan, October 10-13, 2023. pages 759-760, IEEE, 2023. [doi]

@inproceedings{TogoTMOH23,
  title = {Novel Feature Extraction for Classification of Auditory-visual Stimuli from fNIRS Signals},
  author = {Taro Togo and Ren Togo and Keisuke Maeda and Takahiro Ogawa 0001 and Miki Haseyama},
  year = {2023},
  doi = {10.1109/GCCE59613.2023.10315546},
  url = {https://doi.org/10.1109/GCCE59613.2023.10315546},
  researchr = {https://researchr.org/publication/TogoTMOH23},
  cites = {0},
  citedby = {0},
  pages = {759-760},
  booktitle = {12th IEEE Global Conference on Consumer Electronics, GCCE 2023, Nara, Japan, October 10-13, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-4018-1},
}