Казанский (Приволжский) федеральный университет, КФУ
КАЗАНСКИЙ
ФЕДЕРАЛЬНЫЙ УНИВЕРСИТЕТ
 
NEUROTRANSMITTERS LEVEL DETECTION BASED ON HUMAN BIO-SIGNALS, MEASURED IN VIRTUAL ENVIRONMENTS
Форма представленияСтатьи в зарубежных журналах и сборниках
Год публикации2019
Языканглийский
  • Кугуракова Влада Владимировна, автор
  • Аязгулова Карина Ринатовна, автор
  • Библиографическое описание на языке оригинала 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.
    Аннотация 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.
    Ключевые слова Bio-sensor, Bio-signal, Emotion recognition, Human emotions, Immersivity, IVE, Lövheim, Virtual environment, Virtual reality, VR
    Название журнала 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
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