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Updated: Aug 8, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
Md Golam Morshed1, Tangina Sultana1,2, Aftab Alam1,3
1Department of Computer Science and Engineering, Kyung Hee University, Global Campus, Yongin-si 17104, Republic of Korea.
This study reviews human action recognition, focusing on deep learning for computer vision. It analyzes techniques using RGB and depth data for accurate human activity identification in various applications.
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