[HTML][HTML] A Student Facial Expression Recognition Model Based on Multi-Scale and Deep Fine-Grained Feature Attention Enhancement
Z Shou, Y Huang, D Li, C Feng, H Zhang, Y Lin, G Wu - Sensors, 2024 - mdpi.com
In smart classroom environments, accurately recognizing students' facial expressions is
crucial for teachers to efficiently assess students' learning states, timely adjust teaching …
crucial for teachers to efficiently assess students' learning states, timely adjust teaching …
[HTML][HTML] Modulation of thermal perception by VR-based visual stimulation to the embodied virtual body
Y Takeo, M Hara, N Otsuru, T Taihei, R Kawasoe… - Behavioural Brain …, 2025 - Elsevier
Visual stimulation to the embodied virtual body could modulate human perception, however
the associated neurophysiological mechanisms have not elucidated yet. The present study …
the associated neurophysiological mechanisms have not elucidated yet. The present study …
[HTML][HTML] Optimizing Driver Vigilance Recognition: Examining the Characterization and Cumulative Effect of Physiological Signals Across Manual and Automated …
M Guo, Y Wei, J Zhang, Q Huang, X **, J Ma - Applied Sciences, 2024 - mdpi.com
Identifying changes in driver's vigilance under combined manual and automated driving
conditions, as well as during prolonged driving, is crucial for reducing car crashes. Existing …
conditions, as well as during prolonged driving, is crucial for reducing car crashes. Existing …
[HTML][HTML] A Resource-Efficient Multi-Entropy Fusion Method and Its Application for EEG-Based Emotion Recognition
Emotion recognition is an advanced technology for understanding human behavior and
psychological states, with extensive applications for mental health monitoring, human …
psychological states, with extensive applications for mental health monitoring, human …
Emotion Recognition in Closed-Cabin Environment: An exploratory Study Using Millimeter-Wave Radar and Respiration Signal
H Wang, D Chen, S Gu, Y Zhou, Y Sun, J Sun, Y Huang… - 2024 - researchsquare.com
In the field of psychology and cognition within closed cabins, noncontact vital sign detection
holds significant potential as it can enhance the user experience by utilizing objective …
holds significant potential as it can enhance the user experience by utilizing objective …
EEG Emotion Recognition using Deep Neural Network (DNN) in Virtual Reality Environments
Purpose: The purpose of this study is to explore the integration of EEG technology with
virtual reality (VR) systems to enhance therapeutic interventions, improve cognitive state …
virtual reality (VR) systems to enhance therapeutic interventions, improve cognitive state …