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LSTM-Human-Activity-Recognition

LSTM-Human-Activity-Recognition

by guillaume-chevalier · GitHub

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

# activity-recognition# deep-learning# human-activity-recognition# lstm
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3.5k
🍴 Forks
936
📜 License
MIT
Commercial use OK
📅 Created
2016
🔄 Last commit
3 yr ago
🏷️ Category
activity-recognition
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📈 Star history
3 4873 485
2026-07-072026-07-22
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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

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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

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LSTM-Human-Activity-Recognition is an open-source project. It is released under the MIT license.

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Yes. LSTM-Human-Activity-Recognition is free and open source — you can use, modify and self-host it.

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