SLAY 发表于 2025-3-26 21:18:07
Samir Ouchanierage signal intensity), we use a 1D convolutional neural network (Conv1D) to learn bio-sensing features automatically. In experiments, we evaluate our method using DEAP and MAHNOB-HCI datasets. Our proposed multi-modal framework successfully outperforms both single- and multi-modal methods achievinantidote 发表于 2025-3-27 04:01:40
Zakaryae Boudi,Toub Mohamedgnized by facial expressions and engagement measured in two different ways (by software and by user’s self-assessment). Our analysis comprises about 38 h of games and more than one million records of emotional states. The results indicate that there is no universal relation between discrete emotionsHay-Fever 发表于 2025-3-27 05:58:57
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Amine Hamidi,Simon Collart-Dutilleul,Philippe Bonddress real-world problems and enhance people’s lives. Future research could explore ways to improve text recognition accuracy and make the augmented reality feature more user-friendly. Overall, CALEND_AR represents an important step forward in designing augmented and mixed reality applications.Impugn 发表于 2025-3-28 02:12:00
ey areas: valence, arousal, and negative affect. Furthermore, the effect increases when they choose the video they want to watch instead of a random video. This effect benefits the studied subjects because they need more time and energy to visit real natural environments.Palliation 发表于 2025-3-28 07:16:00
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