Carmichael F. Ong

Validating OpenCap Kinematics for ACL Injury-Related Movements In and Out of the Lab

This study evaluates OpenCap's accuracy in measuring ACL injury risk factors both in and out of the lab compared to optical motion capture.

Deep learning models detect neuromuscular disease and quantify functional impairment from video-derived biomechanics data

This paper develops deep learning models to detect neuromuscular diseases and quantify movement impairment using video-derived biomechanics data from smartphone recordings.

Simulation-guided design of exotendons to reduce the energetic cost of running

This paper uses simulations to predict optimal exotendon designs for reducing running energy costs at higher speeds and validates these predictions experimentally.

A model of the cerebellum generates gait adaptations in a reflex-based neuromusculoskeletal model during split-belt walking

This paper introduces a cerebellum model that enables gait adaptation in a reflex-based neuromusculoskeletal model during split-belt walking, showing exponential reduction in step length asymmetry.

Predicting Savings in the Metabolic Cost of Running With an Exotendon

This paper uses simulations to predict energy savings from exotendons at 4 m/s, finding that longer, stiffer designs offer greater savings than shorter, more compliant ones.

Personalizing a computational upper body model improves kinematic tracking in high range-of-motion arm movements

The paper personalizes a computational upper body model to improve kinematic tracking in arm movements, showing reduced tracking errors in both static and dynamic poses.