Improved Human Activity Recognition Using Stacked Sparse Autoencoder (SSAE) Algorithm

This study aims to enhance the performance of Human Activity Recognition (HAR) systems by implementing the Stacked Sparse Autoencoder (SSAE) algorithm combined with Support Vector Machine (SVM). The objective is to enhance the classification accuracy of human activities using sensor data. The materi...

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Bibliographic Details
Published in:	JOIV : international journal on informatics visualization Online Vol. 9; no. 4; p. 1469
Main Authors:	Aziz, Firman, Mustamin, Nurul Fathanah, Rijal, Muhammad, Tanniewa, Adam M
Format:	Journal Article
Language:	English
Published:	30.07.2025
ISSN:	2549-9610, 2549-9904
Online Access:	Get full text
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