Benn Henderson

Benn Henderson is a Researcher affiliated with the Faculty of Computing, Engineering and the Built Environment within the Department of Computer Science and Informatics Research. His work focuses on leveraging machine learning and motion capture technologies to analyze gait patterns for Autism Spectrum Disorder (ASD) detection and robotic teleoperation systems.

• Research Themes: Human Pose Estimation, Gait Analysis, Machine Learning Algorithms, Collaborative Robotics, Neuromorphic Computing
• Key Collaborations: S. Coleman, D. Kerr, J. Quinn, K. Madden, L. Lindsay

Recent publications highlight trends in applying 3D pose estimation models to ASD diagnostics and cobot control systems, with subfields spanning robotic teleoperation, temporal variability analysis, and neuromorphic event suppression. His thesis on "Machine learning classification of autism spectrum disorder using gait and video analysis" underscores his focus on biomedical signal processing.