LSTMs for Human Activity Recognition

See the GitHub project here. Human Activity Recognition (HAR) using smartphones dataset and an LSTM RNN. Classifying the type of movement amongst six categories: – WALKING, – WALKING_UPSTAIRS, – WALKING_DOWNSTAIRS, – SITTING, – STANDING, – LAYING. Compared to a classical approach, using a Recurrent Neural Networks (RNN) with Long Short-Term Memory cells (LSTMs) require no […]