IMU-Based Classification of Locomotion Modes, Transitions, and Gait Phases with Convolutional Recurrent Neural Networks.
Daniel Marcos MazonMarc GroefsemaLambert R. B. SchomakerRaffaella CarloniPublished in: Sensors (2022)
Keyphrases
- recurrent neural networks
- echo state networks
- feature extraction
- reservoir computing
- feed forward
- feature vectors
- machine learning
- image classification
- genetic algorithm
- feedforward neural networks
- neural model
- legged robots
- neural network
- feature space
- model selection
- artificial intelligence
- gait analysis
- human recognition
- chaotic time series
- cascade correlation