Comparative study of ensemble method vs deep learning on human activity recognition for elderly care

• Main Authors: Azali Saudi, Siti Hasnah Tanalol, Mazlinda Musa
• Format: Article
• Language: English; English
• Published: Penerbit UPSI 2022
• Subjects: HV1-9960 Social pathology. Social and public welfare. Criminology; QA76.75-76.765 Computer software
• Online Access: https://eprints.ums.edu.my/id/eprint/34141/1/Comparative%20study%20of%20ensemble%20method%20vs%20deep%20learning%20on%20human%20activity%20recognition%20for%20elderly%20care.pdf; https://eprints.ums.edu.my/id/eprint/34141/3/Comparative%20study%20of%20ensemble%20method%20vs%20deep%20learning%20on%20human%20activity%20recognition%20for%20elderly%20care%20_ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/34141/; https://ojs.upsi.edu.my/index.php/JSML/article/view/6062/3524; https://doi.org/10.37134/jsml.vol10.1.4.202

A drastic increase in healthcare demand has come from the explosive growth of the older population. The elderly are, on average, more vulnerable to health problems than other age groups. Unpredictable events, such as sudden falls, can be avoided with proper monitoring. Activity recognition can help...