Show simple item record

dc.contributor.advisorMetsis, Vangelis
dc.contributor.authorHinkle, Lee B. ( )
dc.date.accessioned2017-01-06T18:06:44Z
dc.date.available2017-01-06T18:06:44Z
dc.date.issued2016-12
dc.identifier.citationHinkle, L. B. (2016). Determination of emotional state through physiological measurement (Unpublished thesis). Texas State University, San Marcos, Texas.
dc.identifier.urihttps://digital.library.txstate.edu/handle/10877/6411
dc.description.abstractThe goal of this thesis is to develop and evaluate methods of emotional response classification using human physiological data. With the continued development of automated systems that interact closely with humans in a more natural manner the ability of such systems to determine the emotional state of nearby subjects and adapt accordingly is increasingly important. Applications include the broad area of affective computing as well as more specific areas such as evaluating the effectiveness of virtual reality based treatment for social phobias. In this work, various non-invasive sensors are used to collect physiological data during virtual reality simulations. Feature extraction, feature selection, and machine learning is performed on the data to determine which signals and algorithms produce the most accurate classification of the subject’s emotional response to the simulations.
dc.formatText
dc.format.extent92 pages
dc.format.medium1 file (.pdf)
dc.language.isoen
dc.subjectEmotion Biosignal Machine Learning
dc.subject.lcshEmotionsen_US
dc.subject.lcshPsychophysiologyen_US
dc.titleDetermination of Emotional State through Physiological Measurement
txstate.documenttypeThesis
dc.contributor.committeeMemberLu, Yijuan
dc.contributor.committeeMemberGuirguis, Mina
thesis.degree.departmentComputer Science
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorTexas State Universityen_US
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
dc.description.departmentComputer Science


Download

Thumbnail

This item appears in the following Collection(s)

Show simple item record