Emotional State Classification with Distributed Random Forest, Gradient Boosting Machine and Naïve Bayes in Virtual Reality Using Wearable Electroencephalography and Inertial Sensing
Among the various neurophysiological signal devices used for emotion classification, the collection of the human brain signal using an EEG device is the most effective way of measuring since it is portable, easy to set up and it is low-cost. The EEG device can record the different rhythmic bands (De...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2020 IEEE 10th Symposium on Computer Applications & Industrial Electronics (ISCAIE)
2020
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| Online Access: | https://eprints.ums.edu.my/id/eprint/26175/1/Emotional%20State%20Classification%20with%20Distributed%20Random%20Forest%2C%20Gradient%20Boosting%20Machine%20and%20Na%C3%AFve%20Bayes%20in%20Virtual%20Reality%20Using%20Wearable%20Electroencephalography%20and%20Inertial%20Sensing.pdf |