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.LG2025
A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease Diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao +1
Recent years have witnessed an increasing global population affected by neurodegenerative diseases (NDs), which traditionally require extensive healthcare resources and human effor…