Emotion Recognition in Virtual Reality Using Sensor Fusion with Eye Tracking

Meral Kuyucu, Mehmet Ali Sarikaya, Tülay Karakaş, Dilek Yıldız Özkan, Yüksel Demir, Ömer Bilen, and Gökhan Ince

This study combines virtual reality, EEG, eye tracking, peripheral physiological signals, and machine learning to model emotional responses in immersive environments.

Computers in Biology and Medicine, Volume 197, Article 111070, 2025.

Improved BCI Calibration in Multimodal Emotion Recognition Using Heterogeneous Adversarial Transfer Learning

Mehmet Ali Sarikaya and Gökhan Ince

This work investigates how synthetic EEG generation and adversarial transfer learning can reduce the extensive calibration requirements of emotion-recognition brain–computer interfaces.

PeerJ Computer Science, Volume 11, Article e2649, 2025.

Modality- and Subject-Aware Emotion Recognition Using Knowledge Distillation

Mehmet Ali Sarikaya and Gökhan Ince

This study develops a knowledge-distillation framework that transfers information from subject-specific, subject-independent, unimodal, and multimodal teacher models into a more efficient emotion-recognition model.

IEEE Access, Volume 12, pp. 122485–122502, 2024.

Cloud-Based Control System with Sensing and Actuating Textile-Based IoT Gloves for Telerehabilitation Applications

Kadir Ozlem, Cagatay Gumus, Ayse Feyza Yilmaz, Asli Tuncay Atalay, Ozgur Atalay, and Gökhan Ince

This research integrates textile sensors, soft robotic actuation, machine learning, cloud communication, and IoT technologies into a remote hand-rehabilitation platform.

Advanced Intelligent Systems, Volume 7, Issue 8, Article 2400894, 2025.

Reducing Dental Anxiety in Children Using Robotic Companions: A Comparative Study of Behavior Management Techniques

Mine Yasemin, Elif Bahar Tuna Ince, and Gökhan Ince

This work examines how socially assistive robotic companions and multimodal interaction strategies can support children during anxiety-inducing dental procedures.

International Journal of Human–Computer Studies, Volume 205, Article 103633, 2025.

Augmented Reality Application for Relieving the Pain of Child Dental Patients

Kerem Gavcar, Bora Senceylan, Erenay Alpaycetin, Meral Korkmaz Kuyucu, Yelda Kasimoglu, Yeliz Guven, Elif Bahar Tuna Ince, and Gökhan Ince

This study evaluates an interactive augmented-reality intervention designed to reduce dental anxiety and perceived pain among pediatric patients.

10th International Conference on Computer Science and Engineering (UBMK) , pp. 1298–1303, 2025.

An Augmented Reality Environment for Testing Cockpit Display Systems

Caner Potur and Gökhan Ince

This research presents an augmented-reality verification environment for supervising cockpit-display testing, improving usability, reducing cognitive load, and supporting reliable human oversight.

Computer-Human Interaction Research and Applications , Communications in Computer and Information Science, Volume 1997, pp. 66–83, 2023.

An Audiovisual Interface-Based Drumming System for Multimodal Human–Robot Interaction

Gökhan Ince, Rabia Yorganci, Ahmet Ozkul, Taha Berkay Duman, and Hatice Köse

This study develops and evaluates an interactive drumming game in which users collaborate with humanoid robots and virtual tutors through audiovisual, turn-taking, imitation, and feedback mechanisms.

Journal on Multimodal User Interfaces, Volume 15, Issue 4, pp. 413–428, 2021.

Virtual Reality Application for Relieving the Pain of Child Dental Patients

Fatma Betül Güreş and Gökhan Ince

This work explores the use of a calming immersive environment to improve the experience of pediatric dental patients and reduce the discomfort associated with clinical procedures.

Springer Series in Design and Innovation, Volume 13, pp. 205–216, 2021.

Brain–Computer Interfaces

EEG-based emotion recognition, calibration reduction, transfer learning, knowledge distillation, and robust models for subject-independent brain–computer interfaces.

Multimodal Sensing

Fusion of EEG, eye tracking, physiological signals, behavioral measurements, wearable sensors, and contextual data for understanding human states.

VR and AR Research

Immersive environments for emotion research, healthcare, rehabilitation, anxiety management, training, system verification, and human-centered experience design.

Human–Robot Interaction

Socially assistive robots, multimodal interaction, robot tutors, interactive games, child–robot communication, and intelligent companions.

Digital Health and Rehabilitation

Intelligent rehabilitation systems, wearable technologies, pediatric healthcare interventions, stress reduction, and patient-centered interactive systems.

Human-Centered Intelligent Systems

Technologies designed around usability, trust, safety, cognitive workload, human oversight, accessibility, and meaningful real-world impact.