Classification Accuracy of Support Vector Machine, Decision Tree and Random Forest Modules when Applied to a Health Monitoring with Flexible Sensors
In this study, distinct machine learning-based methods of analysis were used to evaluate the most effective feature combination for a previously proposed system which detects changes in the physical conditions of human beings through eight sensors placed on various locations of a bed and floor near...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2020-10-01
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| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | https://sensorsportal.com/HTML/DIGEST/october_2020/Vol_245/P_3177.pdf |