Project Overview
Purpose:
The HAR system is designed to recognize human activities using sensor data. It leverages probabilistic reasoning, ontologies, and machine learning techniques to infer high-level activities from low-level sensor inputs.
Key Features:
- Probabilistic Reasoning
- Ontology-Based Modeling
- Real-Time Data Processing
- Scalable Architecture
- User-Friendly Interface
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