A probabilistic approach based on Random Forests to estimating similarity of human motion in the context of Parkinson's Disease.
Andreas KuhnerTobias SchubertMassimo CenciariniChristoph MaurerWolfram BurgardPublished in: IROS (2016)
Keyphrases
- random forests
- human motion
- random forest
- motion capture
- human body
- optical motion capture
- logistic regression
- machine learning algorithms
- ensemble methods
- video sequences
- tree ensembles
- image sequences
- decision trees
- motion recognition
- human actions
- head pose estimation
- motion capture data
- randomized trees
- machine learning
- decision tree ensembles
- motion synthesis
- spatio temporal
- human movements
- motion sequences
- depth images
- relational data
- machine learning methods