Nov 23, 2022 · This paper explores the use of the self-supervised learning (SSL) paradigm in the development of emotion recognition methods.
Nov 23, 2022 · This paper presents the key concepts of emotions and how SSL methods can be applied to recognize affective states. We experimentally analyze and ...
Apr 8, 2024 · Considering the cost and reliability of manually labeled EEG signals, this paper proposes the application of a self-supervised learning method ...
This paper explores the use of the self-supervised learning (SSL) paradigm in the development of emotion recognition methods.
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Apr 9, 2024 · Self supervised learning based emotion recognition using physiological signals. · Citation. Zhang, M., & Cui, Y. · Abstract · Unique Identifier.
Apr 9, 2024 · This paper adopts self-supervised learning methods to study emotion recognition based on EEG. Specifically, experiments employ three pre-defined tasks.
Numerous previous studies have indicated that applying self-supervision to physiological signals can yield better representations of the signals. In the ...
In this paper, we present a Modality-Agnostic Transformer based Self-Supervised Learning (MATS 2 L) for emotion recognition using physiological signals.
Their self-supervised task consists in first transforming the signal, with operations such as scaling or adding noise, and then using the network to predict ...
Oct 11, 2023 · In this paper, we present a Modality-Agnostic Transformer based Self-Supervised Learning (MATS2L) for emotion recognition using physiological signals.