Multi-componential Emotion Recognition in VR Using Physiological Signals-Reference-Cited by-同舟云学术

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Multi-componential Emotion Recognition in VR Using Physiological Signals

Published:2022 Issue: Volume: Page:599-613
ISSN:0302-9743
Container-title:AI 2022: Advances in Artificial Intelligence
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Author:

Somarathna Rukshani,Quigley Aaron,Mohammadi Gelareh

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22695-3_42

Reference44 articles.

1. Bassano, C., et al.: A VR game-based system for multimodal emotion data collection. In: MIG 2019. Association for Computing Machinery, New York (2019)

2. Boot, L.: Facial expressions in EEG/EMG recordings. Thesis (2009)

3. Cacioppo, J.T., Petty, R.E., Losch, M.E., Kim, H.S.: Electromyographic activity over facial muscle regions can differentiate the valence and intensity of affective reactions. J. Pers. Soc. Psychol. 50(2), 260 (1986)

4. Communications in Computer and Information Science;V Chandra,2021

5. Domínguez-Jiménez, J.A., Campo-Landines, K.C., Martínez-Santos, J.C., Delahoz, E.J., Contreras-Ortiz, S.H.: A machine learning model for emotion recognition from physiological signals. Biomed. Signal Process. Control 55, 101646 (2020)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards Understanding Player Experience in Virtual Reality Games through Physiological Computing;2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2024-03-11

2. Exploring User Engagement in Immersive Virtual Reality Games through Multimodal Body Movements;29th ACM Symposium on Virtual Reality Software and Technology;2023-10-09

3. Facial Emotion Recognition in Immersive Virtual Reality: A Systematic Literature Review;Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments;2023-07-05

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