# guillaume-chevalier/LSTM-Human-Activity-Recognition — RepoVerse

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

URL: https://repoverse.app/cards/59073471

[Repository source](https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition)

## Card snapshot

- Edition: Genesis
- Rarity: common
- Finish: Base
- Attack: 3834
- Defense: 6053
- GitHub stars: 3489
- GitHub forks: 931
- Language: Jupyter Notebook
- Category: AI Pioneers
- Snapshot date: 2026-10-22

These repository statistics and game attributes belong to this dated card snapshot. They are not a current assessment of software quality.

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