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- W2511326710 abstract "Reported works on electroencephalogram (EEG)-based emotion recognition systems generally employ the principles of supervised learning to build sub- ject-dependent (single/intra-subject) models. Building subject-independent (multiple/inter-subject) models is a harder problem due to the EEG data variability between subjects. The contribution of this paper is twofold. First, we provide a framework for selection of a small number of basic temporal features, event-related potential (ERP) amplitudes, and latencies that are sufficiently robust to discriminate emotion states across multiple subjects. Sec- ond, we test comparatively the feasibility of six standard unsupervised (clustering) techniques to build intra-subject and inter-subject models to discriminate emotion valence in the ERPs collected while subjects were viewing high arousal images with positive or negative emotional content." @default.
- W2511326710 created "2016-09-16" @default.
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- W2511326710 date "2015-01-01" @default.
- W2511326710 modified "2023-09-27" @default.
- W2511326710 title "Learning to decode human emotions from event-related potentials O. GeorgievaS. MilanovP. Georgieva •" @default.
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