Develop a cable-driven gait perturbation system that can deliver precisely controlled, unexpected slip- and trip- like perturbations during treadmill walking, and investigate the biomechanical markers of balance loss onset, recovery response and outcomes (fall/balance recovery) in healthy young adults (followed by older adults) across different perturbation modalities.

Choudhury, R., Nguyen, V. T. H., Fu, J., Banarjee, C., Thiamwong, L., & Park, J. H. (2025, August). A Cable-Driven Ankle Perturbation System for Studying Reactive Balance Control. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (Vol. 89251, p. V005T08A052). American Society of Mechanical Engineers. https://doi.org/10.1115/DETC2025-167659 

[pdf]

Implementation of an attention-based model (transformer) showed superior activity recognition performance (95% accuracy) compared to models without attention (67% accuracy), demonstrating the utility and applicability of attention-based models in complex and dynamic movements, Investigated a minimal number of wearable motion capture sensors and their optimal placements on the body to inform sensor placement recommendations for use in real-world environments and scenarios

N. Bayat, A. Tran, J. -H. Kim and J. -H. Park*, "Characterization and Classification of Tactical Movements Using Wearable Motion Sensors and Deep Learning Models," in IEEE Transactions on Instrumentation and Measurement, vol. 75, pp. 1-11, 2026, Art no. 4001911, doi: 10.1109/TIM.2026.3657490 

[pdf]