This paper presents a framework for adaptive multimodal emotion recognition based on signal stability as a context.
Recent years have witnessed attempts to exploit multimodality fusing information from musical contents and physiological signals captured from listeners to ...
Experimental results show that temporally varying the relative contribution of each modality can improve emotion recognition performance, and a framework�...
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Sep 29, 2020 · This paper primarily discusses the progress of research into multimodal emotion recognition based on BCI and reviews three types of multimodal affective BCI ( ...
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May 1, 2024 · Emotion recognition based on multimodal physiological signals using spiking feed-forward neural networks · No full-text available · Citations (2) ...
Multimodal Stability-Sensitive Emotion Recognition based on Brain- wave and Physiological Signals, in Proc. the 5th International Workshop on. Context Based ...
Sep 8, 2022 · We propose a substructure-based joint probability domain adaptation algorithm (SSJPDA) to overcome physiological signals' noise effect.
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This review examines the current state of multimodal emotion recognition methods that integrate visual, vocal or physiological modalities for practical emotion ...
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May 18, 2024 · This paper provides a comprehensive study of different methods for extracting electroencephalography (EEG) features for emotion recognition from four different ...
Soleymani, “Multimodal gated information fusion for emotion recognition from eeg signals and facial behaviors,” in Proceedings of the 2020. International ...
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