Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
NEUROTRANSMITTERS LEVEL DETECTION BASED ON HUMAN BIO-SIGNALS, MEASURED IN VIRTUAL ENVIRONMENTS
Form of presentationArticles in international journals and collections
Year of publication2019
Языканглийский
  • Kugurakova Vlada Vladimirovna, author
  • Ayazgulova Karina Rinatovna, author
  • Bibliographic description in the original language Kugurakova V, Ayazgulova K., Neurotransmitters Level Detection Based on Human Bio-Signals, Measured in Virtual Environments//Advances in Intelligent Systems and Computing. - 2019. - Vol.848, Is.. - P.209-216.
    Annotation In this paper, we explore the possibility of using the visual and sound stimuli obtained in various incidents when immersed in virtual reality, to detect human emotion by measuring the human bio-signals: heart rate, electroencephalogram (EEG), blood volume pressure, skin temperature and galvanic skin response (GSR) using bio-sensors. Further classification of signals occurs using a neural network. The received statistical characteristics are used as a contribution to the neural network for classification according to the Lövheim cube of emotions. The resulting algorithm for recognizing emotions based on human bio-signals in virtual reality will be used to predict emotional reactions to various events in virtual environments and, consequently, to increase their immersion.
    Keywords Bio-sensor, Bio-signal, Emotion recognition, Human emotions, Immersivity, IVE, Lövheim, Virtual environment, Virtual reality, VR
    The name of the journal Advances in Intelligent Systems and Computing
    URL https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053217500&doi=10.1007%2f978-3-319-99316-4_28&partnerID=40&md5=4dbfd56a92079ab30e8df9065f1e2f70
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=185425&p_lang=2

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