Using Recurrent Neural Networks to approximate orientation with Accelerometers and Magnetometers.
Akil HosangNicholas HoseinPatrick HoseinPublished in: IDSTA (2021)
Keyphrases
- recurrent neural networks
- neural network
- complex valued
- feed forward
- recurrent networks
- long short term memory
- artificial neural networks
- hidden layer
- feedforward neural networks
- echo state networks
- hebbian learning
- reservoir computing
- nonlinear dynamic systems
- position and orientation
- chaotic time series
- cascade correlation
- genetic algorithm
- physical activity
- data mining