Preference Classification Using Electroencephalography (EEG) and Deep Learning
@article{Teo2018PreferenceCU, title={Preference Classification Using Electroencephalography (EEG) and Deep Learning}, author={Jason Teo and Chew Lin Hou and James Mountstephens}, journal={Journal of Telecommunication, Electronic and Computer Engineering}, year={2018}, volume={10}, pages={87-91} }
Electroencephalogram (EEG)-based emotion classification is rapidly becoming one of the most intensely studied areas of brain-computer interfacing (BCI). The ability to passively identify yet accurately correlate brainwaves with our immediate emotions opens up truly meaningful and previously unattainable human-computer interactions such as in forensic neuroscience, rehabilitative medicine, affective entertainment and neuro-marketing. One particularly useful yet rarely explored areas of EEG-based…
12 Citations
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