Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.
Mario Muñoz OrganeroLauren PowellBen HellerVal HarpinJack ParkerPublished in: Sensors (2019)
Keyphrases
- recurrent neural networks
- movement patterns
- neural network
- feed forward
- complex valued
- echo state networks
- feedforward neural networks
- reservoir computing
- artificial neural networks
- nonlinear dynamic systems
- signal processing
- recurrent networks
- educational games
- long short term memory
- hebbian learning
- neural model
- long term
- data mining
- young children
- moving objects
- three dimensional
- computer vision
- genetic algorithm