This paper presents an improvement of conventional supervised-learning emotional state estimation in the form of dimensional valence-arousal values.
This paper presents an improvement of conventional supervised-learning emotional state estimation in the form of dimensional valence-arousal values.
This paper presents an improvement of conventional supervised-learning emotional state estimation in the form of dimensional valence-arousal values.
In this paper we identified seven emotional states anger,surprise,sadness ,happiness,fear,disgust and neutral.The definition of parameters is a crucial step in ...
Jan 17, 2024 · In this article, we chart the rich literature on emotional prosody for both newcomers to the field and researchers seeking updates.
Estimation of emotional states enhanced by a priori knowledge ... New York, Amerikai Egyesült Államok, Piscataway (NJ), Amerikai Egyesült Államok : IEEE (2013) ...
Nov 26, 2021 · This finding suggests that an emotion knowledge intervention might be beneficial for increasing negative emotion differentiation and may have implications for ...
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Their emotional stress response assessment is based on comprehensive physiological measurements and artificial neural network emotional state estimation.
Oct 23, 2022 · We propose Prior Knowledge Enhanced emotional support model with latent variable, PoKE. The proposed model fully taps the potential of prior knowledge.
Missing: Estimation priori
Feb 16, 2021 · This study proposes an emotional-category based feature weighting (ECFW) method, which aims at finding the prominence of each feature under different emotions.