🥽 Research

Extended Reality & Assistive HCI

XRCerebral palsyUpper-limb kinematicsBarrier-free design

Overview

Extended reality (XR) can open up new ways to exercise and play, but only if the environment is actually usable by people with movement differences. This thread studies how adults with cerebral palsy interact with XR and exergame environments, combining movement science with human-computer interaction to make these experiences genuinely barrier-free.

Figures

Upper-limb kinematics capture during a grasping task

Methodology

Quantification of needs for barrier-free XR environment usage, including wheelchair ergometer personalization for individuals with cerebral palsy and spinal cord injuries.
Upper-body kinematics and EMG capture during XR/exergame grasping tasks, paired with machine learning to characterize interaction strategies.
Mixed-methods design combining kinematic data with observational and qualitative methods, including in-depth interviews with participants.

Selected Outputs

Characterizing Upper-Limb Interaction Strategies of Adults with Cerebral Palsy in Extended Reality: A Mixed-Methods Kinematic and Observational Study (in preparation).
Development of Barrier-Free Experiential XR Content Technology to Improve Accessibility to Online Activities for the Physically Disabled — Senior Researcher, Ministry of Culture, Sports and Tourism, 2024.4–present.
Muscle Synergy Analysis during Grasping Tasks in Individuals with Cerebral Palsy: A Framework for Telerehabilitation — ASB International Conference, 2025.
Muscle Synergy Complexity in Affected and Unaffected Upper Limbs of Individuals with Post-Stroke Hemiplegia during Grasping Tasks — KSSB, 2024. Best Presentation Award