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Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis
Shih Wei Chen
, Sheng Huang Lin
, Lun De Liao
, Hsin Yi Lai
, Yu Cheng Pei
, Te Son Kuo
, Chin Teng Lin
, Jyh Yeong Chang
, You Yin Chen
,
Yu Chun Lo
, Shin Yuan Chen
, Robby Wu
, Siny Tsang
Research output
:
Contribution to journal
›
Article
›
peer-review
39
Citations (Scopus)
Overview
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Dive into the research topics of 'Quantification and recognition of parkinsonian gait from monocular video imaging using kernel-based principal component analysis'. Together they form a unique fingerprint.
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Engineering
Principal Components
100%
Component Analysis
100%
Gait Analysis
50%
Digital Camera
33%
Feature Extraction
16%
Progression
16%
Power Spectra
16%
Low-Frequency Band
16%
Gait Cycle
16%
Coloured Light
16%
Gait Pattern
16%
Computervision
16%
Main Lobe
16%
Motor Function
16%
Nursing and Health Professions
Imaging
100%
Principal Component Analysis
100%
Parkinson's Disease
100%
Clinician
10%
Clinical Assessment
10%
Disease Control
10%
Stride Length
10%
Walking Speed
10%
Motor Dysfunction
10%
Feature Extraction
10%
Neuroscience
Parkinson's Disease
100%
Gait Analysis
30%
Clinical Assessment
10%
Stereotypic Movement Disorder
10%