{"title":"A Multiparameter Wearable Workload Analysis System for Power Plant Operators","authors":"Jae Hyuk Shin, Y. Chee, Myungsoo Lee, K. Park","doi":"10.1109/ISSMDBS.2006.360111","DOIUrl":null,"url":null,"abstract":"In this paper, we present the wearable workload analysis system that is designed to evaluate the workload and mental stress of operators which employed on power plant. The hardware parts and software part of the wireless sensor system is described which plays an important role in workload analysis system. The software system processes ECG, respiration, EDA, activity signal and extracts some information about worker's conditions. The result of this experiment is reveal that our designed system is suitable for measuring psychophysiological signal from works by non-invasive and comfort method. And derived workload index equation is well reflect the work level and degree of mental stress.","PeriodicalId":409380,"journal":{"name":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","volume":"212 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 3rd IEEE/EMBS International Summer School on Medical Devices and Biosensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSMDBS.2006.360111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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Abstract
In this paper, we present the wearable workload analysis system that is designed to evaluate the workload and mental stress of operators which employed on power plant. The hardware parts and software part of the wireless sensor system is described which plays an important role in workload analysis system. The software system processes ECG, respiration, EDA, activity signal and extracts some information about worker's conditions. The result of this experiment is reveal that our designed system is suitable for measuring psychophysiological signal from works by non-invasive and comfort method. And derived workload index equation is well reflect the work level and degree of mental stress.
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