Publication Type : Conference Paper
Publisher : IEEE
Source : 2023 Innovations in Power and Advanced Computing Technologies (i-PACT)
Url : https://doi.org/10.1109/i-pact58649.2023.10434480
Campus : Chennai
School : School of Computing
Department : Computer Science and Engineering
Year : 2023
Abstract :
In the field of emotion recognition, computer-aided classification systems are typically designed to comprehend human emotional states by analyzing specific signal states. However, it is important to note that human emotional levels cannot be visualized as a single, monolithic process or event. Critical reviews in this field have consistently shown that multimodal accuracies outperform unimodal accuracies. The integration of multimodal environments adds complexity to the analysis process, which is the focus of this research. This paper presents the potential of EEG data and the integration of multimodal environments in emotion classification.
Cite this Research Publication : Rajasekhar Pillalamarri, Udhayakumar Shanmugam, Advances In EEG-Based Multimodal Emotion Recognition: A Comprehensive Review, 2023 Innovations in Power and Advanced Computing Technologies (i-PACT), IEEE, 2023, https://doi.org/10.1109/i-pact58649.2023.10434480