Titlebook: HCI International 2022 - Late Breaking Papers. Multimodality in Advanced Interaction Environments; 24th International C Masaaki Kurosu,Saka

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Hormones

Emotion Recognition from?Physiological Signals Using Continuous Wavelet Transform and?Deep LearningN) model for classification. The proposed model processes multiple signal types such as Galvanic Skin Response (GSR), respiration patterns, and blood volume pressure. Achieved results indicate an accuracy of 84.2%, which outperforms state-of-the-art models on four-class classification despite of being only based on peripheral signals.

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0302-9743 reaking Work” (papers and posters). The contributions thoroughly cover the entire ?eld of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas..978-3-031-17617-3978-3-031-17618-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-1-349-08415-9division is higher than that without FOV division, and complex poses can be detected. In addition, the effectiveness of the two-stage skeleton detection was confirmed by comparing the results with and without the two-stage detection.

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