With the integration of sensors into ubiquitous body-worn devices and the advancement of machine learning methods, it is time to use the full spectrum of biosignal data to understand human needs and adapt cognitive systems accordingly.
Biosignal-adaptive cognitive systems
The acquisition, processing, and decoding of multimodal biosignals in real-time, with the aim of interpreting human behavior and predicting human needs in the context of communication with cognitive robots and systems
Published at: SN Applied Sciences (Volume: 5)
DOI: 10.1007/s42452-023-05412-w
Published at: Multimodal Technologies and Interaction (Volume: 7)
DOI: 10.3390/mti7040037
Published at: NeuroImage (Volume: 269)
DOI: 10.1016/j.neuroimage.2023.119913
Published at: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (Volume: 66)
DOI: 10.1007/s00103-022-03653-5
Published at: Frontiers in Physiology (Volume: 14)
DOI: 10.3389/fphys.2023.1233341
Published at: Communications in Computer and Information Science (Volume: 1814 CCIS)
DOI: 10.1007/978-3-031-38854-5_8
Published at: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (Volume: 2023-August)
DOI: 10.21437/Interspeech.2023-1435
Published at: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH (Volume: 2023-August)
DOI: 10.21437/Interspeech.2023-174
Published at: IEEE Transactions on Biomedical Engineering
DOI: 10.1109/TBME.2023.3294242
Published at: International IEEE/EMBS Conference on Neural Engineering, NER (Volume: 2023-April)
DOI: 10.1109/NER52421.2023.10123792