Support Vector Machine Analysis to Detect Deviation in a Health Condition Monitoring System
In this study, support vector machine (SVM) learning was applied to a proposed monitoring system that captures changes in a person’s health conditions using flexible force-sensing resistors and optimizing parameters. The system consists of eight flexible force-sensing resistors, a data acquisition d...
Main Authors: | Yasutaka UCHIDA, Tomoko FUNAYAMA, Yoshiaki KOGURE |
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Format: | Article |
Language: | English |
Published: |
IFSA Publishing, S.L.
2019-09-01
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Series: | Sensors & Transducers |
Subjects: | |
Online Access: | https://sensorsportal.com/HTML/DIGEST/september-october_2019/Vol_237/P_3117.pdf |
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