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: Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST
DOI: 10.1145/3641825.3689525
Published at: Discover Applied Sciences (Volume: 6)
DOI: 10.1007/s42452-024-06122-7
Published at: Sensors (Volume: 24)
DOI: 10.3390/s24165250
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DOI: 10.1007/s12599-024-00861-y
Published at: IEEE Sensors Journal (Volume: 24)
DOI: 10.1109/JSEN.2024.3356651
Published at: Machine Learning: Science and Technology (Volume: 5)
DOI: 10.1088/2632-2153/ad2492
Published at: Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz (Volume: 67)
DOI: 10.1007/s00103-023-03827-9
Published at: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
DOI: 10.1109/EMBC53108.2024.10781749
Published at: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
DOI: 10.1109/EMBC53108.2024.10781553
Published at: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
DOI: 10.1109/EMBC53108.2024.10781736