IEEE

Hypercomplex Neural Network and Cross-Modal Attention for Multi-Modal Emotion Recognition Using Physiological Signals

Abstract: Multi-modal emotion recognition plays a crucial role in human-computer interaction. Nowadays, many studies have developed fusion algorithms for this purpose. However, two challenges are ...
News-Medical.Net

Artificial empathy in healthcare platforms and future directions

Healthcare and therapy systems face a worsening workforce shortage, creating an urgent need for technologies that can support ...
IEEE

Enhancing Speech Emotion Recognition With Conditional Emotion Feature Diffusion and Progressive Interleaved Learning Strategy

Abstract: Speech emotion recognition (SER) aims to identify the speaker's emotional states in specific utterances accurately. However, existing methods still face feature confusion when attempting to ...
Frontiers

Analysis of the interactive effects between sleep quality, trait mindfulness, vigor, and five types of negative emotions using EBICglasso network analysis

1 College of Psychology, Liaoning Normal University, Dalian, China 2 Department of Gastroenterology, Affiliated Zhongshan Hospital of Dalian University, Dalian, China Introduction: Network analysis ...
Frontiers

Multimodal physiological signal emotion recognition based on multi-head cross attention with representation learning

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 ...
Biometric Companies

London Police facial recognition expansion casts wide net

London’s Metropolitan Police have a new community crime-fighting strategy that expands the use of facial recognition and other technologies to catch the city’s “most harmful offenders,” and apparently ...