• Corpus ID: 54789899

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… 

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