Abstract: Fiber Bragg Grating (FBG) sensing systems have demonstrated strong potential for distributed vibration monitoring, yet recognizing mixed intrusion events remains challenging due to the ...
Abstract: Accurate recognition of bird emotions is essential for advancing bird behavior studies and conservation efforts. This paper introduces a learning approach for bird emotions recognition, ...
Abstract: Emotional expression and interaction are fundamental aspects of daily life. Understanding emotions not only improves communication but also offers significant potential for medical ...
Abstract: Emotion intensity recognition is important for understanding mental states and improving human-computer interaction. Recently, electroencephalogram (EEG)-based spectrogram analysis was ...
Introduction: Physiological signals offer a significant advantage in the field of emotion recognition due to their objective nature, as they are less susceptible to volitional control and thus provide ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Abstract: Identifying the emotions hidden in speech (SER) encounters difficulties in virtue of the subjective and variable nature of human emotions, along with limitations such as data dependency, ...
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