Deep learning-enabled accurate assessment of gait impairments in Parkinson's disease using smartphone videos
Accurate smartphone video-based gait assessment for Parkinson's disease.
Professional Summary
Zhihua Tian is an M.Sc. candidate in Operations Research and Cybernetics at Nankai University.
His work focuses on AI for healthcare, computer vision, and large language models, with
emphasis on Parkinson’s disease assessment from smartphone videos and motion data.
Education
M.S. in Operations Research and Cybernetics
2023-09-01
2026-06-30
Nankai University
B.S. in Computer Science and Technology
2017-09-01
2021-06-30
Hangzhou Dianzi University
Interests
AI4Healthcare
Computer Vision
Large Language Models
Research Overview
My goal is to build robust and clinically meaningful AI systems for movement disorder assessment.
I focus on Parkinson’s disease analysis from smartphone videos and sequential human motion features, with emphasis on generalization, interpretability, and reproducible deployment.
Featured Publications
IMU2SKE: Hierarchical Contrastive Learning-Empowered Video-Based Detection of Freezing of Gait in Parkinson's Disease
Video-based freezing-of-gait detection with hierarchical contrastive learning.
All Publications
(2025).
Deep learning-enabled accurate assessment of gait impairments in Parkinson's disease using smartphone videos.
npj Digital Medicine.
Selected Projects
FAGI-PD
FAGI-PD is an intelligent gait analysis platform for Parkinson’s disease screening and management, built on our research published in npj Digital Medicine (Nature Portfolio). The …