AIMC Topic: Facial Recognition
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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...
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...
A generative adversarial network-based accurate masked face recognition model using dual scale adaptive efficient attention network.
Scientific reports
May 21, 2025
Masked identification of faces is necessary for authentication purposes. Face masks are frequently utilized in a wide range of professions and sectors including public safety, health care, schooling, catering services, production, sales, and shipping...
Demonstration of impaired facial emotion perception in temporal lobe epilepsy by theta responses in EEG.
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Apr 28, 2025
OBJECTIVE: Temporale lobe and occipito-temporal cortical areas play an important role in facial emotion perception (FEP). FEP might be represented by event-related brain oscillations. In patients with temporal lobe epilepsy (TLE), impairment of FEP w...
Driver facial emotion tracking using an enhanced residual network with weighted fusion of channel and spatial attention.
Scientific reports
Apr 12, 2025
Facial expression recognition (FER) plays a crucial role in interpreting human emotions and intentions in real-life applications, such as advanced driver assistance systems. However, it faces challenges due to subtle facial variations, environmental ...
Day-to-day dynamics of facial emotion expressions in posttraumatic stress disorder.
Journal of affective disorders
Mar 21, 2025
Facial expressions are an essential component of emotions that may reveal mechanisms maintaining posttraumatic stress disorder (PTSD). However, most research on emotions in PTSD has relied on self-reports, which only capture subjective affect. The fe...
Portable and Self-Powered Sensing AI-Enabled Mask for Emotional Recognition in Virtual Reality.
ACS applied materials & interfaces
Mar 12, 2025
With the increasing development of metaverse and human-computer interaction (HMI) technologies, artificial intelligence (AI) applications in virtual reality (VR) environments are receiving significant attention. This study presents a self-sensing fac...
Overconfident, but angry at least. AI-Based investigation of facial emotional expressions and self-assessment bias in human adults.
BMC psychology
Mar 10, 2025
Metacognition and facial emotional expressions both play a major role in human social interactions [1, 2] as inner narrative and primary communicational display, and both are limited by self-monitoring, control and their interaction with personal and...
A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications.
Sensors (Basel, Switzerland)
Feb 26, 2025
This paper provides a comprehensive analysis of recent developments in face recognition, tracking, identification, and person detection technologies, highlighting the benefits and drawbacks of the available techniques. To assess the state-of-art in t...
Machine Learning Techniques for Simulating Human Psychophysical Testing of Low-Resolution Phosphene Face Images in Artificial Vision.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Feb 22, 2025
To evaluate the quality of artificial visual percepts generated by emerging methodologies, researchers often rely on labor-intensive and tedious human psychophysical experiments. These experiments necessitate repeated iterations upon any major/minor ...
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