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...

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Bibliographic Details
Main Authors: Yasutaka UCHIDA, Tomoko FUNAYAMA, Yoshiaki KOGURE
Format: Article
Language:English
Published: IFSA Publishing, S.L. 2019-09-01
Series:Sensors & Transducers
Subjects:
Online Access:https://sensorsportal.com/HTML/DIGEST/september-october_2019/Vol_237/P_3117.pdf