人物動作生成技術を発展させ、人のデジタルツインモデルの構築を目指します。クリエイション、ロボットの学習、産業におけるシミュレーションなど、応用は多岐にわたる技術になると考えています。博士課程修了後は獲得した知見を活かした社会実装、後学育成に注力したいと考えています。

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.

My research develops lightweight and generalizable wireless sensing systems for human activity recognition. I aim to overcome domain shifts and resource limits, enabling robust, privacy-preserving applications in healthcare, smart homes, and intelligent infrastructure. In the future, I plan to pursue an academic or research-oriented career as a university faculty member or research scientist, contributing to both fundamental advances and real-world deployment of human-centric AI systems. I also aspire to mentor young researchers and foster interdisciplinary collaboration to bridge academia and industry.