DIVAI 2026

Special Session Organizers

Zoltán Balogh
Faculty of Natural Sciences and Informatics of CPU in Nitra
Slovakia
zbalogh@ukf.sk

Martin Magdin
Faculty of Natural Sciences and Informatics of CPU in Nitra
Slovakia
mmagdin@ukf.sk

Objectives and Topics

The special session focuses on cutting-edge research in emotion recognition and affective computing, with emphasis on multimodal sensor networks, Internet of Things (IoT) technologies, and advanced machine learning methods for classifying emotional states from physiological functions. The session welcomes submissions addressing practical applications in education, healthcare, human-computer interaction, virtual reality, and therapeutic interventions. Both theoretical contributions and empirical studies demonstrating innovative approaches to emotion detection, classification, and prediction are highly encouraged.

Topics of interest include, but are not limited to:

• Multimodal sensor networks for physiological signal acquisition
• IoT devices and wearable technologies for emotion monitoring
• Machine learning and deep learning for emotional state classification
• Non-invasive monitoring of physiological biosignals (heart rate, electrodermal activity, body temperature, respiratory patterns, pupillary response)
• Real-time emotion prediction and classification systems
• Adaptive learning environments based on emotional state recognition
• Virtual reality (VR) applications with emotion-adaptive features
• Therapeutic games and exposure therapy using VR and emotion recognition
• Affective computing in educational settings
• Educational data mining and learning analytics with emotional state data
• Human-computer interaction enhanced by emotion recognition
• Evaluation and benchmarking of emotion recognition systems
• Hybrid machine learning models for emotion prediction
• Energy-efficient algorithms for emotion recognition on edge devices
• Privacy and ethical considerations in emotion monitoring
• Applications in telemedicine and remote patient monitoring
• Emotion recognition in industrial settings and Human-Cyber-Physical Systems
• Multimodal data fusion techniques for improved emotion detection
• CRISP-DM and other methodologies for emotion recognition system development
• Assessment of physiological parameters' correlation with emotional states
• Explainable AI for emotion recognition systems
• Cross-cultural and individual differences in emotion expression and recognition

DIVAI 2026 – Important Dates

• Paper submission: January 30, 2026
• Notification of acceptance: February 27, 2026
• Camera-ready papers: March 20, 2026
• Registration & payment: April 15, 2026
• Conference date: May 4 – 6, 2026