Parameter tuning for enhancing inter-subject emotion classification in four classes for vr-eeg predictive analytics

• Main Authors: azmi Sofian Suhaimi, James Mountstephens, Jason Teo
• Format: Article
• Language: English
• Published: 2020
• Subjects: TJ Mechanical engineering and machinery
• Online Access: https://eprints.ums.edu.my/id/eprint/25668/1/Parameter%20tuning%20for%20enhancing%20inter-subject%20emotion%20classification%20in%20four%20classes%20for%20vr-eeg%20predictive%20analytics.pdf; https://eprints.ums.edu.my/id/eprint/25668/

The following research describes the potential in classifying emotions using wearable EEG headset while using a virtual environment to stimulate the responses of the users. Current developments on emotion classification have always steered towards the use of a clinical-grade EEG headset with a 2D mo...