In this study, we propose a high-precision, fine-grained emotion recognition system based on multisource throat physiological signals. The system collects signals through optimized flexible ...

In this section, we illustrate the detailed pipeline for Speech Emotion Recognition using CNN-Transformer architecture, as shown in Figure 1. The process includes feature extraction, CNN processing, ...

Emotion detection is a critical field in AI as well as computer vision, seeking to recognize or detect human emotions from facial expressions. Although this area has been greatly advanced through ...

The proposed hybrid deep learning strategy combining CNN-LSTM and ResNet152 model improves the accuracy to 98% in EEG-based emotion recognition connected to PTSD.

Related research The development of emotion recognition research based on multi-modal physiological signals mainly benefits from the establishment of physiological emotion datasets and the rise of ...

Deep Learning Framework for Facial Emotion Recognition using CNN Architectures Abstract: FER (facial expression recognition) is a significant study subject in the artificial intelligence and computer ...