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Updated: Feb 2, 2026

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Ku Nurhanim Ku Abd Rahim1, I Elamvazuthi2, Lila Iznita Izhar3
1Smart Assistive and Rehabilitative Technology (SMART) Research Group, Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, 32610 Bandar Seri Iskandar, Malaysia. ku_g03269@utp.edu.my.
Human Activity Recognition (HAR) using smartphone sensors accurately classifies daily activities like walking and sitting. Ensemble methods with Support Vector Machine (SVM) achieved 99.22% accuracy, outperforming Random Forest (RF).
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