Comparative study of ensemble method vs deep learning on human activity recognition for elderly care
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...
Main Authors: | Azali Saudi, Siti Hasnah Tanalol, Mazlinda Musa |
---|---|
Format: | Article |
Language: | English English |
Published: |
Penerbit UPSI
2022
|
Subjects: | |
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 |
Similar Items
-
An efficient red–black skewed modified accelerated arithmetic mean iterative method for solving two-dimensional poisson equation
by: Azali Saudi, et al.
Published: (2022) -
Backpropagation neural ensemble for localizing and recognizing non-standardized Malaysia's car plates
by: Chin, Kim On, et al.
Published: (2016) -
A Multi-Tier Knowledge Discovery Info-Structure Using Ensemble Techniques [QA76.9.D35 S158 2007 f rb].
by: Karthigasoo, Sakthiaseelan
Published: (2007) -
Human motion recognition based on Kinect sensor and leap motion controller
by: Chun, Yung Wong, et al.
Published: (2022) -
Vision-based dynamic hand gesture recognition techniques and applications: A review
by: Nurfazlin Muhamad Feizal Franslin, et al.
Published: (2022)