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What is Context-Aware HAR via Smartphone Sensors about?

This document presents a framework for context-aware human activity recognition (CAHAR) using smartphone accelerometer data. Most existing activity recognition studies are done in controlled settings, but human behavior depends on context that varies in real-world environments. The proposed CAHAR framework recognizes both physical activities and behavioral contexts simultaneously using machine learning classifiers to better model activities in-the-wild. It aims to provide more meaningful recognition of acti

Author

Bilal

Language

EN