Abstract
Certain human emotions can be quantified by processing electroencephalography (EEG) data. Recent advances in Brain Computer Interfaces (BCI) allow us to record, process and determine user functional intent and emotional implication from such data. The Metaverse captures an extensive spectrum of multi-modal content on the Internet including social media, games, videos, and more complex VR, AR, MR platforms. We propose an objective method to quantify user emotion using EEG data collected through non-invasive BCIs during user interaction. BCI’s qualify as IoT sensors that record EEG data in real-time as users are exploring multimedia content through several emotion-generating scenarios.
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Muresan, A.O., Cruz, M.V., Hamza-Lup, F.G. (2024). Objective Emotion Quantification in the Metaverse Using Brain Computer Interfaces. In: Puthal, D., Mohanty, S., Choi, BY. (eds) Internet of Things. Advances in Information and Communication Technology. IFIPIoT 2023. IFIP Advances in Information and Communication Technology, vol 683. Springer, Cham. https://doi.org/10.1007/978-3-031-45878-1_24
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