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LSTMs for Human Activity Recognition

Human Activity Recognition example using TensorFlow on smartphone

LSTM-Human-Activity-Recognition is a machine learning project that demonstrates how recurrent neural networks can be used to recognize human activities from sensor data. The repository implements a deep learning model based on Long Short-Term Memory (LSTM) networks to classify physical activities using time-series data collected from wearable sensors.

Downloads: 17 This Week

Last Update: 2026-03-11
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