AIMC Topic: Emotions
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Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance.
Journal of medical Internet research
Jul 2, 2025
BACKGROUND: The development of automatic emotion recognition models from smartphone videos is a crucial step toward the dissemination of psychotherapeutic app interventions that encourage emotional expressions. Existing models focus mainly on the 6 b...
MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.
Scientific reports
Jul 1, 2025
Extracting richer emotional representations from raw speech is one of the key approaches to improving the accuracy of Speech Emotion Recognition (SER). In recent years, there has been a trend in utilizing self-supervised learning (SSL) for extracting...
EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation.
Scientific reports
Jul 1, 2025
Emotion recognition via EEG signals and facial analysis becomes one of the key aspects of human-computer interaction and affective computing, enabling scientists to gain insight into the behavior of humans. Classic emotion recognition methods usually...
Improving EEG based brain computer interface emotion detection with EKO ALSTM model.
Scientific reports
Jul 1, 2025
Decoding signals from the CNS brain activity is done by a computer-based communication device called a BCI. In contrast, the system is considered compelling communication equipment enabling command, communication, and action without using neuromuscul...
Development of a Cohesive Predictive Model for Substance Use Disorder Rehabilitation Using Passive Digital Biomarkers, Psychological Assessments, and Automated Facial Emotion Recognition: Protocol for a Prospective Cohort Study.
JMIR research protocols
Jun 27, 2025
BACKGROUND: Substance use disorder (SUD) involves excessive substance consumption and persistent reward-seeking behaviors, leading to serious physical, cognitive, and social consequences. This disorder is a global health crisis tied to increased mort...
Emotional impact of AI-generated vs. human-composed music in audiovisual media: A biometric and self-report study.
PloS one
Jun 25, 2025
Generative artificial intelligence (AI) has evolved rapidly, sparking debates about its impact on the visual and sonic arts. Despite its growing integration into creative industries, public opinion remains sceptical, viewing creativity as uniquely hu...
Intervention through an intelligent technological platform for socio-emotional development and health promotion in adolescents with Type 1 Diabetes Mellitus (emoTICare): A study protocol for randomized controlled trial.
PloS one
Jun 23, 2025
BACKGROUND: During adolescence, individuals face various challenges that require adequate psychosocial and emotional adjustment. Additionally, the presence of a chronic illness during this stage, such as Type 1 Diabetes Mellitus (T1DM), introduces ad...
Emotion recognition with multiple physiological parameters based on ensemble learning.
Scientific reports
Jun 6, 2025
Emotion recognition is a key research area in artificial intelligence, playing a critical role in enhancing human-computer interaction and optimizing user experience design. This study explores the application and effectiveness of ensemble learning m...
"Calming the nightmares": A qualitative study of a socially assistive robot for sensory and emotional support in individuals with eating disorders and PTSD.
PloS one
Jun 6, 2025
Individuals with eating disorders (ED) and co-occurring post-traumatic stress disorder (PTSD) often face difficulties with sensory overload and emotion regulation (ER), which can make treatment more complex. Assistive devices that offer real-time sup...
Evaluating the capacity of large language models to interpret emotions in images.
PloS one
Jun 3, 2025
The integration of artificial intelligence, specifically large language models (LLMs), in emotional stimulus selection and validation offers a promising avenue for enhancing emotion comprehension frameworks. Traditional methods in this domain are oft...
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