常到
发表于 2025-3-25 06:07:24
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chapel
发表于 2025-3-25 08:40:00
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Scleroderma
发表于 2025-3-25 12:00:02
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摘要
发表于 2025-3-25 19:46:07
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Hormones
发表于 2025-3-25 21:58:26
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.
hemorrhage
发表于 2025-3-26 01:19:54
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罐里有戒指
发表于 2025-3-26 07:29:37
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Axillary
发表于 2025-3-26 11:07:06
0302-9743 reaking Work” (papers and posters). The contributions thoroughly cover the entire field 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
发起
发表于 2025-3-26 13:12:56
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.
不持续就爆
发表于 2025-3-26 18:28:38
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