13 citations · 22 across the 11 of their papers we have counts for
12 papers
A Unified Kinematic Representation Enables Reusable Biological Joint Moment Estimation
Jinwoo Hwang, Ilseung Park, Changseob Song +3
Objective: Data-driven models that estimate physiological states, particularly biological joint moments, are widely used in exoskeleton control. However, these estimators are often…
Effects of Assistance Delay on Joint Mechanics and Energetics in Biological Torque Control of a Hip Exoskeleton
Jimin An, Ryan Lee, Jingshu Peng +2
Biological torque control directly maps an estimated human joint moment to exoskeleton assistance, providing a task-agnostic strategy for supporting diverse locomotor activities. H…
Musculoskeletal Motion Imitation for Learning Personalized Exoskeleton Control Policy in Impaired Gait
Itak Choi, Ilseung Park, Eni Halilaj +1
Designing generalizable control policies for lower-limb exoskeletons remains fundamentally constrained by exhaustive data collection or iterative optimization procedures, which lim…
Contactless Monitoring of Muscle Vibrations During Exercise with a Chaos-Inspired Radar
Jiangyifei Zhu, Yuzhe Wang, Tao Qiang +6
In this paper, our goal is to enable quantitative feedback on muscle fatigue during exercise to optimize exercise effectiveness while minimizing injury risk. We seek to capture fat…
MAMMA: Markerless & Automatic Multi-Person Motion Action Capture
Hanz Cuevas-Velasquez, Anastasios Yiannakidis, Soyong Shin +7
We present MAMMA, a markerless motion-capture pipeline that accurately recovers SMPL-X parameters from multi-view video of two-person interaction sequences. Traditional motion-capt…
Optimizing Locomotor Task Sets in Biological Joint Moment Estimation for Hip Exoskeleton Applications
Jimin An, Changseob Song, Eni Halilaj +1
Accurate estimation of a user's biological joint moment from wearable sensor data is vital for improving exoskeleton control during real-world locomotor tasks. However, most state-…