Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data

Kai-Chieh Chang, Mark Hasegawa-Johnson, Nancy L. McElwain, Bashima Islam. Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data. In Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023. pages 2370-2377, IEEE, 2023. [doi]

@inproceedings{ChangHMI23,
  title = {Classification of Infant Sleep/Wake States: Cross-Attention among Large Scale Pretrained Transformer Networks using Audio, ECG, and IMU Data},
  author = {Kai-Chieh Chang and Mark Hasegawa-Johnson and Nancy L. McElwain and Bashima Islam},
  year = {2023},
  doi = {10.1109/APSIPAASC58517.2023.10317201},
  url = {https://doi.org/10.1109/APSIPAASC58517.2023.10317201},
  researchr = {https://researchr.org/publication/ChangHMI23},
  cites = {0},
  citedby = {0},
  pages = {2370-2377},
  booktitle = {Asia Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2023, Taipei, Taiwan, October 31 - Nov. 3, 2023},
  publisher = {IEEE},
  isbn = {979-8-3503-0067-3},
}