Jonas Birkle, Ruben Weber, K. Möller, Verena Wagner-Hartl *
{"title":"Psychophysiological Parameters for Emotion recognition – Conception and first evaluation of a measurement environment","authors":"Jonas Birkle, Ruben Weber, K. Möller, Verena Wagner-Hartl *","doi":"10.54941/ahfe100958","DOIUrl":null,"url":null,"abstract":"The recognition of emotions is an essential basis of human social interaction. This is relevant at all levels of human interaction. However, the ability varies greatly among people. For this reason, the measurement of emotions is of great interest for a wide variety of applications. Furthermore, it is also an interesting topic in the current COVID-19 pandemic-situation with its restrictions regarding personal contacts. The presented paper focuses on a concept and first evaluation of a measurement environment. A multidimensional approach was chosen for the developed concept. The studied psychophysiological measures were: cardiovascular (ECG) and electrodermal activity (EDA) as well as the forearm and neck electromyography (EMG). In addition, the facial expression was recorded via camera. The results of a first evaluation show, that the combination of the different measures was successful and promising for the use in further research.","PeriodicalId":292077,"journal":{"name":"Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent Human Systems Integration (IHSI 2022) Integrating People and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe100958","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The recognition of emotions is an essential basis of human social interaction. This is relevant at all levels of human interaction. However, the ability varies greatly among people. For this reason, the measurement of emotions is of great interest for a wide variety of applications. Furthermore, it is also an interesting topic in the current COVID-19 pandemic-situation with its restrictions regarding personal contacts. The presented paper focuses on a concept and first evaluation of a measurement environment. A multidimensional approach was chosen for the developed concept. The studied psychophysiological measures were: cardiovascular (ECG) and electrodermal activity (EDA) as well as the forearm and neck electromyography (EMG). In addition, the facial expression was recorded via camera. The results of a first evaluation show, that the combination of the different measures was successful and promising for the use in further research.