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Real-Time EEG-Based Happiness Detection System
We propose to use real-time EEG signal to classify happy and unhappy emotions elicited by pictures and classical music. We use PSD as a feature and SVM as a classifier. The average accuracies of subject-dependent model and subject-independent model are approximately 75.62% and 65.12%, respectively....
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Hindawi Publishing Corporation
2013
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3759272/ https://ncbi.nlm.nih.gov/pubmed/24023532 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/618649 |
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