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Sep 8, 2016 · In this study, we propose a framework that involves the use of multiple sensors to determine the emotional states of the users. The assessment ...
Sep 8, 2016 · The proposed multi-sensing approach includes several inputs from users (such as speech, facial movements, and everyday activities), and uses an ...
The proposed multi-sensing approach includes several inputs from users, and uses an artificial intelligent strategy to map these different responses into ...
This paper introduces a novel approach to multimodal emotion recognition, seamlessly integrating speech and text modalities to accurately infer emotional states ...
Therefore, enabling intelligent machines to recognize human emotions during interactions and exhibit empathy is currently a research focus. Emotion Recognition ...
In this paper, we propose an improved MMER (multimodal emotion recognition) method using TIM-Net (Temporal-Aware Bi-Direction Multi-Scale Network) and ...
Jun 15, 2024 · We propose Emotion-LLaMA, a model that seamlessly integrates audio, visual, and textual inputs through emotion-specific encoders.
In this paper, we propose a novel model-level fusion technique based on deep learning for enhanced emotion recognition from multimodal signals to monitor ...
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Jul 12, 2024 · Multimodal emotion recognition leverages various data channels to interpret human emotions more accurately. Traditional emotion detection ...
The best multimodal emotion-recognition system reached an accuracy of 85% and was considerably more accurate than the optimal single-modality correspondence ...