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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

Datasets & evaluationsJupyter NotebookMIT · Permissive
Repository stars3,490All-time #17748
7-day net stars—Insufficient history
Fork928Ratio to stars 26.6%
Last push2022-11-06No recent push

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Author description: 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

Basic listing based on official public information; functionality has not been independently evaluated.

Sources: official source 1 · official source 2. Based on public basic information; not an in-depth evaluation.

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First collected
2026-11-03
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Jupyter Notebook
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MIT · Permissive
Repository created
2016-05-18
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2022-11-06
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2026-11-03 09:41 UTC
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