Human activity and posture classification using smartphone sensors and Matlab mobile

• Main Authors: Jamian, Syahirah, Gunawan, Teddy Surya, Kartiwi, Mira, Ahmad, Robiah, Kadir, Kushairy, Nordin, Muhammad Noor
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE IMS 2022
• Subjects: TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/100342/1/100342_Human%20activity%20and%20posture%20classification.pdf; http://irep.iium.edu.my/100342/2/100342_Human%20activity%20and%20posture%20classification_SCOPUS.pdf; http://irep.iium.edu.my/100342/; https://ieeexplore.ieee.org/document/9806551

Human Activity Recognition (HAR) is significant, especially in the medical field. Activity recognition has been used in various ways as technology has advanced, particularly using a smartphone-based approach. This work aims to evaluate the accuracy of the triaxial accelerometer in the Matlab Mobile...