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Updated: Jul 5, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Gye Hwan Jin1, Sang Bock Lee, Tae Soo Lee
1Ubiquitous Biomedical System Development Center, College of Medicine, Chungbuk National University, Cheongju, South Korea. ghjin@nambu.ac.kr
This study developed a context awareness system using accelerometers to detect user motion states and emergency situations. The system achieved high accuracy in recognizing activities like walking, running, and lying down, demonstrating its potential for real-world applications.
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