Murat Yalcin

Istanbul Technical University, Human Computer Interaction (Switzerland)

Papers

Total Citations

103

H-Index

About

Murat Yalcin is a pioneering researcher at the intersection of human-robot interaction, affective computing, and sensor-based artificial intelligence. His work bridges the gap between physical and virtual agents, exploring how robots and virtual characters can communicate emotion and narrative through multimodal cues. Yalcin’s most influential contribution, “Human Action Recognition Using Deep Learning Methods on Limited Sensory Data” (101 citations), demonstrates his expertise in developing efficient AI systems that recognize human gestures using only minimal accelerometer and gyroscope data—a breakthrough for real-world applications in surveillance and human-robot collaboration. More recently, his innovative study “Binded to the Lights – Storytelling with a Physically Embodied and a Virtual Robot using Emotionally Adapted Lights” explores how colored lighting can emotionally modulate storytelling experiences delivered by both physical and virtual robots. This work highlights Yalcin’s commitment to creating more engaging, empathetic human-machine interactions. His research is particularly notable for its practical focus on limited-resource environments, making advanced AI accessible for robotics and interactive systems. Yalcin’s contributions are shaping the future of socially aware robots that can understand and respond to human actions and emotions.