Publications by authors named "Zhuldyz Kabidenova"
Article Synopsis
- Understanding emotional states is key for improving human-machine interfaces, as human behaviors in social settings influence psychological and physiological responses.*
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- The study presents a unique multimodal emotion dataset from 42 participants, featuring data from EEG, audio, and video recordings that capture five distinct emotions during conversational interactions.*
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- This Emotion in EEG-Audio-Visual (EAV) dataset is the first of its kind for emotion recognition and aims to enhance research in both neuroscience and machine learning, providing insights into human emotions.*
