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Psychophysiological Stress Control via Heart Rate Entrainment 通过心率调节的心理生理应激控制
2019 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769370
R. Cuijpers, E. K. van Dijk, S. Longhi, E. Marchegiani, A. Monteriù
{"title":"Psychophysiological Stress Control via Heart Rate Entrainment","authors":"R. Cuijpers, E. K. van Dijk, S. Longhi, E. Marchegiani, A. Monteriù","doi":"10.1109/ZINC.2019.8769370","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769370","url":null,"abstract":"The aim of this work is to develop a real-time system able to classify and passively reduce stress. Heart Rate (HR) and Skin Conductance Response (SCR) are used for stress classification. Entrainment phenomenon is exploited as a possible way to reduce stress via an auditory stimulus. A Support Vector Machine (SVM) produces 84% of stress classification accuracy and a slight effect is obtained for stress reduction.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115275869","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Fuzzy analysis of surface roughness in electrical discharge machining 电火花加工表面粗糙度的模糊分析
2019 Zooming Innovation in Consumer Technologies Conference (ZINC) Pub Date : 2019-05-01 DOI: 10.1109/ZINC.2019.8769355
D. Rodić, Marin Gostimirović, Nikola M. Laković, Branislav Batinić, Nenad R. Kulundžić
{"title":"Fuzzy analysis of surface roughness in electrical discharge machining","authors":"D. Rodić, Marin Gostimirović, Nikola M. Laković, Branislav Batinić, Nenad R. Kulundžić","doi":"10.1109/ZINC.2019.8769355","DOIUrl":"https://doi.org/10.1109/ZINC.2019.8769355","url":null,"abstract":"the work proposes an artificial intelligence tool, respectively fuzzy logic technique for analyzing surface roughness of electrical discharge machining. The analysis of surface roughness based on the fuzzy logic method, which is an approach for analysis of the electrical discharge machining was researched using the Taguchi L9 experimental plan. The aim of this paper is to examine the influence of the individual important input processing parameters, like peak current and pulse on-time on output machining performance. The results have shown that the fuzzy logic approach can be used for the surface roughness analysis in electrical discharge machining.","PeriodicalId":190326,"journal":{"name":"2019 Zooming Innovation in Consumer Technologies Conference (ZINC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125851219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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