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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3027026
Abstract: Emotion recognition using miniaturised wearable physiological sensors has emerged as a revolutionary technology in various applications. However, detecting emotions using the fusion of multiple physiological signals remains a complex and challenging task. When fusing physiological…
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Keywords:
temporal multimodal;
deep learning;
multimodal deep;
fusion ... See more keywords
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Published in 2023 at "Algorithms"
DOI: 10.3390/a16040186
Abstract: In many tasks related to an object’s observation or real-time monitoring, the gathering of temporal multimodal data is required. Such data sets are semantically connected as they reflect different aspects of the same object. However,…
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Keywords:
algebraic system;
data processing;
temporal multimodal;
multimodal data ... See more keywords