Improved BCI calibration in multimodal emotion recognition using heterogeneous adversarial transfer learning
The use of brain-computer interface (BCI) technology to identify emotional states has gained significant interest, especially with the rise of virtual reality (VR) applications. However, the extensive calibration required for precise emotion recognition models presents a significant challenge, parti...
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Main Authors: | Mehmet Ali Sarikaya, Gökhan Ince |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2025-01-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-2649.pdf |
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