Leooo-Huang/awesome-human-activity-recognition
Always up-to-date, most comprehensive HAR resource — continuously scanned and auto-updated from Papers with Code. 53 datasets integrated across all modalities.
This resource helps researchers and practitioners in human activity recognition (HAR) find relevant datasets, models, and tools. It organizes information by the type of sensor data you have (video, motion capture, wearable sensors) and the specific task you want to perform, such as classifying actions or detecting activities in untrimmed video. It's designed for anyone working on projects that involve automatically identifying human movements and behaviors.
Use this if you are a researcher or practitioner in human activity recognition looking for appropriate datasets, frameworks, or pretrained models for your specific sensor data and task.
Not ideal if you are a beginner looking for a simple, step-by-step tutorial on how to get started with a specific HAR project from scratch.
Stars
66
Forks
1
Language
Python
License
CC-BY-4.0
Category
Last pushed
Mar 25, 2026
Commits (30d)
0
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