Individualized Gait Trajectory Prediction Based on Fusion LSTM Networks for Robotic Rehabilitation Training.
Lu JiaQingsong AiWei MengQuan LiuSheng Quan XiePublished in: AIM (2021)
Keyphrases
- motor learning
- prediction accuracy
- recurrent neural networks
- prediction model
- echo state networks
- recurrent networks
- prediction error
- training process
- training samples
- neural network ensemble
- data fusion
- mobile robot
- training set
- information fusion
- real time
- robotic systems
- control loop
- learning algorithm
- multi layer perceptron
- robot motion
- motor skills
- surgical training
- radial basis function network
- trajectory data
- gait recognition
- multi sensor
- network structure
- human computer interaction
- supervised learning
- social networks