My research aims to develop comprehensive behavior recognition by integrating observable actions with internal physiological states. By leveraging multimodal biosignals such as motion data, photo-reflective sensors, and neural and muscular activity, I seek to improve the interpretability of behavior understanding in naturalistic and interactive environments, particularly in virtual reality. In the long term, I aim to establish myself as a researcher at the intersection of human behavior analysis, physiological computing, and immersive systems, contributing to human-centered AI and interdisciplinary research bridging engineering, cognitive science, and human?computer interaction.