guillaume-chevalier / LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
MIT License
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fixed-width sliding windows of 2.56 sec and 50% overlap (128 readings/window). could you please explain it little bit more what does it mean and why you want to use it ? #30

Open shahid377 opened 4 years ago