A vision-based regression model to evaluate Parkinsonian gait from monocular image sequences.
You-Yin ChenChien-Wen ChoSheng-Huang LinHsin-Yi LaiYu-Chun LoShin-Yuan ChenYuan-Jen ChangWen-Tzeng HuangChin-Hsing ChenFu-Shan JawSiny TsangSheng-Tsung TsaiPublished in: Expert Syst. Appl. (2012)
Keyphrases
- regression model
- gait recognition
- gait analysis
- model selection
- human gait
- regression methods
- prediction model
- linear model
- regression analysis
- explanatory variables
- support vector regression
- human computer interaction
- survival analysis
- kernel regression
- augmented reality
- generalized linear models
- logistic regression models
- linear regression model
- regression method
- independent variables
- gaussian process
- regression trees
- target variable
- human movement
- machine learning
- multiple linear regression
- response variable
- principal component analysis