Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images
<p dir="ltr">Stress is subjective and is manifested differently from one person to another. Thus, the performance of generic classification models that classify stress status is crude. Building a person-specific model leads to a reliable classification, but it requires the collection...
Saved in:
| Main Author: | Sami Elzeiny (16891521) (author) |
|---|---|
| Other Authors: | Marwa Qaraqe (10135172) (author) |
| Published: |
2020
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis
by: Sami Elzeiny (16891521)
Published: (2021) -
Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions
by: Sara A. Al-Emadi (22827935)
Published: (2025) -
PlgCirMap: A MATLAB toolbox for computing conformal mappings from polygonal multiply connected domains onto circular domains
by: Mohamed M.S., Nasser
Published: (2020) -
On n-semiprimary ideals and n-pseudo valuation domains
by: Anderson, David F.
Published: (2020) -
Translation of atherosclerotic disease features onto healthy carotid ultrasound images using domain-to-domain translation
by: Hazrat Ali (421019)
Published: (2023)