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Article

A comprehensive deep learning model for motor phenotypes of Parkinson's disease using three-dimensional kinect V2 detectors.

Gait & posture - 1 Jan 2026

Lai Yun-Ru, Huang Chih-Cheng, Lien Chia-Yi, Chiang Yi-Fang, Ting Chi-Ping, Kung Chien-Feng, Lu Cheng-Hsien

Abstract excerpt

BACKGROUND: Gait impairments are common for Parkinson's disease (PD). With the development of artificial intelligence (AI) technology and three-dimensional Kinect V2 Detectors, it is possible to enable more accurate characterization of gait impairment. We develop a comprehensive prediction model by combining skeleton gait energy image with relative distance and angle for PD motor phenotypes. RESEARCH QUESTION:...

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PMID: 41061555
DOI: 10.1016/j.gaitpost.2025.110000

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