Bio-LSTM: A Biomechanically Inspired Recurrent Neural Network for 3D Pedestrian Pose and Gait Prediction.
Xiaoxiao DuRam VasudevanMatthew Johnson-RobersonPublished in: CoRR (2018)
Keyphrases
- recurrent neural networks
- long short term memory
- chaotic time series
- feed forward
- neural network
- prediction accuracy
- reservoir computing
- complex valued
- feedforward neural networks
- recurrent networks
- artificial neural networks
- prediction model
- pedestrian detection
- neural model
- hidden layer
- pose estimation
- echo state networks
- object detection
- nonlinear dynamic systems
- gait analysis
- artificial intelligence
- human identification
- human gait