Machine learning approach to predict center of pressure trajectories in a complete gait cycle: a feedforward neural network vs. LSTM network.
Ahnryul ChoiHyunwoo JungKi Young LeeSangsik LeeJoung Hwan MunPublished in: Medical Biol. Eng. Comput. (2019)
Keyphrases
- feedforward neural networks
- machine learning
- recurrent neural networks
- back propagation
- extreme learning machine
- computer vision
- pattern recognition
- network structure
- feature selection
- moving objects
- spatio temporal
- supervised learning
- dimensionality reduction
- machine learning algorithms
- gait recognition
- gait analysis