Gee-Sern Hsu

National Taiwan University of Science and Technology

Papers

Total Citations

H-Index

About

Gee-Sern Hsu is a researcher whose work sits at the intersection of computer vision, affective computing, and robotics. His primary research areas include emotion recognition from motion capture data, face detection, and human-robot interaction. Hsu’s most notable contribution is his work on a bi-modular sequential neural network for motion capture sensor-based emotion recognition, which has garnered 25 citations since 2022. This research addresses the emerging challenge of recognizing human emotions from gait patterns, with applications spanning smart home design, border security, virtual reality, and gaming. In earlier work, Hsu developed a photographer robot equipped with a multiview face detector, enabling it to capture faces across a wide range of poses—a significant improvement over conventional systems limited to frontal views. This innovation, published in 2016, demonstrates his ability to bridge theoretical advances with practical robotic applications. Hsu’s research is particularly relevant for students and researchers interested in the convergence of deep learning, sensor-based emotion analysis, and autonomous systems.