Research Fields

Pioneering research developing advanced algorithms integrating emotion AI human behavior.

Affective Computing

Our core research involves developing sophisticated algorithms that detect and interpret human emotions. We utilize various modalities, including facial expressions, voice tone, and physiological signals, to create technologies that can understand and respond to human feelings.

Computer Vision

Our research in computer vision focuses on understanding and interpreting visual data from the human face and body. We develop systems that analyze facial expressions, eye movements, and other visual cues to assess emotional and psychological states accurately.

Audio Signal Analysis

We specialize in analyzing audio signals to extract meaningful information about emotional and psychological states. Our projects involve developing tools that use speech data to detect conditions such as trauma, affective disorders, and mental fatigue.

Data Synthesis

Techniques for generating synthetic data across various modalities like Text-to-Image, Text-to-Audio, and Text-to-Biosignal. This involves creating new datasets or augmenting existing ones to enhance machine learning models and AI systems.

LLMs and Dialog Systems

Audio-Video Violence Detection

Human-Computer Interaction (HCI)

Virtual Reality

Application of advanced AI to detect violence, vandalism, and emergency situations using movement patterns, posture, facial expressions, gestures, weapons, screams, and other audio events. The approach combines image-to-text for real-time recognition and response.

Leveraging large language models (LLMs) for speech-based dialog systems in psychopathological settings, such as virtual therapists and just-in-time therapy support, aimed at enhancing mental health interventions and care.

Our research in Human-Computer Interaction (HCI) focuses on designing and optimizing interfaces that facilitate seamless interactions between humans and technology. We aim to create intuitive and empathetic user experiences by studying how people interact with digital systems and devices.

Our innovative projects explore the use of virtual reality (VR) in therapeutic and diagnostic contexts. We develop VR-based tools for treating conditions such as unipolar depression, enhancing stress management, and supporting rehabilitation processes, providing immersive and effective solutions for mental health care.