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This repository is a curated collection of resources, papers, code, and summaries relating to human activity recognition/behavior recognition. It is not a single integrated software package but rather a knowledge base organizing feature extraction methods, deep learning approaches, transfer learning strategies, datasets, and representative research in behavior recognition. The repository includes links to code in MATLAB, Python, summaries of algorithms, datasets, and relevant research papers. Feature extraction method summaries (e.g. motion, sensor, vision). Deep learning for activity recognition references.
Features
- Curated list of behavior / activity recognition algorithms
- Feature extraction method summaries (e.g. motion, sensor, vision)
- Deep learning for activity recognition references
- Transfer learning in activity recognition
- Datasets listing and links
- Code snippets / pointers to implementations
Project Samples
Categories
Machine LearningFollow Activity Recognition
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