3 papers
cs.AI2026
MOSAIC: Modality-Specific Adaptation for Incremental Continual Learning in Parkinson's Disease Gait Assessment
Minlin Zeng, Zhipeng Zhou, Yang Qiu +2
Gait-based Parkinson's disease assessment increasingly relies on heterogeneous sensors, but clinical systems rarely collect all modalities simultaneously. New sensors may arrive th…
cs.AI2025
Towards Relaxed Multimodal Inputs for Gait-based Parkinson's Disease Assessment
Minlin Zeng, Zhipeng Zhou, Yang Qiu +2
Parkinson's disease assessment has garnered growing interest in recent years, particularly with the advent of sensor data and machine learning techniques. Among these, multimodal a…
cs.CY2025
An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place
Yongjie Wang, Jonathan Cyril Leung, Ming Chen +4
The population of older adults is steadily increasing, with a strong preference for aging-in-place rather than moving to care facilities. Consequently, supporting this growing demo…