Repeatability of the accelerometric-based method to detect step events for hemiparetic stroke patients.
Hyo-Ki LeeJoo-Han KimHyoun-Seok MyoungJung-Hun LeeKyoung-Joung LeePublished in: EMBC (2011)
Keyphrases
- detection method
- experimental evaluation
- high accuracy
- high precision
- significant improvement
- cost function
- detection algorithm
- face recognition
- support vector machine svm
- data sets
- support vector machine
- multi step
- synthetic data
- x ray
- feature set
- edge detection
- classification accuracy
- computational cost
- pairwise
- image segmentation
- feature selection
- genetic algorithm