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Updated: Nov 15, 2025
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
Published on: December 11, 2015
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes
Sakorn Mekruksavanich1, Anuchit Jitpattanakul2
1Department of Computer Engineering, School of Information and Communication Technology, University of Phayao, Phayao 56000, Thailand.
This study introduces a novel 4-layer Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) network for Human Activity Recognition (HAR) using smartphone sensor data. The proposed deep learning model significantly improves activity recognition accuracy compared to existing methods.
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2026-06-19T13:38:55.839920+00:00
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