Oct 27, 2023 · In this paper, we propose a novel Online Multimodal HyperGraph Learning (OMHGL) method to fuse multimodal information for emotion recognition ...
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Oct 20, 2023 · To address these issues, we propose a discriminative correlation fusion method coupled with a temporal alignment mechanism for multimodal ...
Corpus of resources for multimodal machine learning with physiological signals - willxxy/awesome-mmps.
An emotion recognition model based on SFNNs has been established, which offers improved classification performance in emotion recognition by processing both ...
Nov 17, 2023 · This approach combines signals such as EEG, GSR, PPG, EMG, ECG, and respiratory signals. The fusion of information from different modalities ...
The proposed feature-level fusion approach to automatically recognize human emotions represents a promising methodology for emotion recognition, ...
Jan 8, 2020 · Results indicate that using multiple sources of physiological signals and their fusion increases the accuracy rate of emotion recognition.
Sep 8, 2022 · Some researchers use feature level fusion or signal level fusion to fuse multimodal signals to improve emotion recognition accuracy. He et al. ( ...
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Sep 8, 2022 · Some researchers use feature level fusion or signal level fusion to fuse multimodal signals to improve emotion recognition accuracy. He et al. ( ...
An emotion recognition system on the basis of physiological signals is proposed in this paper. The aim is to perform a multimodal fusion between ...