Towards affect detection during human-technology interaction: An empirical study using a combined EEG and fNIRS approach

Kathrin Pollmann, Mathias Vukelic, Matthias Peissner. Towards affect detection during human-technology interaction: An empirical study using a combined EEG and fNIRS approach. In 2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015, Xi'an, China, September 21-24, 2015. pages 726-732, IEEE Computer Society, 2015. [doi]

@inproceedings{PollmannVP15,
  title = {Towards affect detection during human-technology interaction: An empirical study using a combined EEG and fNIRS approach},
  author = {Kathrin Pollmann and Mathias Vukelic and Matthias Peissner},
  year = {2015},
  doi = {10.1109/ACII.2015.7344649},
  url = {http://doi.ieeecomputersociety.org/10.1109/ACII.2015.7344649},
  researchr = {https://researchr.org/publication/PollmannVP15},
  cites = {0},
  citedby = {0},
  pages = {726-732},
  booktitle = {2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015, Xi'an, China, September 21-24, 2015},
  publisher = {IEEE Computer Society},
  isbn = {978-1-4799-9953-8},
}