In this paper we present an evaluation of an affective multimodal fusion approach utilizing dimensional representations of emotion.
In this paper we present an evaluation of an affective multimodal fusion approach utilizing dimensional representations of emotion. The evaluation uses.
An evaluation of an affective multimodal fusion approach utilizing dimensional representations of emotion uses physiological signals as a reference measure ...
Feb 16, 2011 · In this paper we present an evaluation of an affective multimodal fusion approach utilizing dimensional representations of emotion.
In this paper we present an evaluation of an affective multimodal fusion approach utilizing dimensional representations of emotion. The evaluation uses ...
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Sep 7, 2022 · The physiological signals' individual differences and the inherent noise will significantly affect emotion recognition accuracy. To overcome the ...
Sep 18, 2024 · This paper proposes a transformer-based multimodal fusion approach that leverages facial thermal data, facial action units, and textual context information
Physiological signals are the most reliable form of signals for emotion recognition, as they cannot be controlled deliberately by the subject.
Aug 15, 2024 · This research aims to investigate the impact of various configurations of neural network architectures, proposed multimodal fusion network and training ...
This paper proposes an effective classification model for multimodal physiological signals to address the above issues based on modeling the heterogeneity and ...