zechenli03/ZARA
Official implementation of "ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents"
This project helps researchers and practitioners classify human activities from motion sensor data without needing to train a specific model for each activity. It takes raw motion time-series data from various sensors and identifies what activity is happening. Anyone involved in fields like health monitoring, sports analytics, or smart environments would find this useful.
Use this if you need to accurately identify human activities from sensor data, even for activities you haven't explicitly trained a model on.
Not ideal if your primary need is to build or fine-tune task-specific classification models for human activity recognition.
Stars
14
Forks
2
Language
Python
License
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Category
Last pushed
Oct 30, 2025
Commits (30d)
0
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