Human activity and posture classification using smartphone sensors and Matlab mobile

Jamian, Syahirah and Gunawan, Teddy Surya and Kartiwi, Mira and Ahmad, Robiah and Kadir, Kushairy and Nordin, Muhammad Noor (2022) Human activity and posture classification using smartphone sensors and Matlab mobile. In: 2022 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2022, 16-19 May 2022, Ottawa, Canada.

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Abstract

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 and examine the development and performance of the algorithms in identifying human motions on individuals of similar ages and physical appearances. Motion signals from three subjects are measured, data is preprocessed using a filtering technique, features are extracted, feature normalization is used to reduce bias in data measurement, and activities are classified. Confusion matrix, precision, recall, accuracy, F1-score, and Kappa score are performance indicators used to determine this classification approach. As a result, this research discovered that the Quadratic Support Vector Machine (SVM) produces the best results, with a 99.22 % accuracy rate, proving the efficacy of its activity identification method.

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	External collaboration with local universities, UTM and UniKL.
Uncontrolled Keywords:	human activity recognition, posture recognition, smartphone sensors, SVM classifier.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	04 Oct 2022 15:56
Last Modified:	04 Oct 2022 15:56
URI:	http://irep.iium.edu.my/id/eprint/100342

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