Gavrilova, MarinaSieu, Brandon2021-11-232021-11-232021-11Sieu, B. (2021). Person identification from audio and visual aesthetics (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.http://hdl.handle.net/1880/114140In recent years, the trend that allowed for person identification based on behavior rather than physical traits to emerge as a growing research domain. Its application spans areas such as online education, e-commerce, e-communication, human-computer interaction, robotics, and biometric security. The expression of opinions is an example of online behavior, that is commonly shared through the liking of images or music. A person's aesthetic preference involves using a person's sense of fondness to experienced stimulus. This thesis examines for the first time aesthetic preference as a biometric trait. It then establishes the efficacy of a combined multi-modal approach to person identification using aesthetic preference. The potency of this approach is tested on a proprietary dataset.engUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.Machine LearningDeep LearningBehavioral BiometricsBiometric SecurityVisual AestheticsAudio AestheticsPattern RecognitionComputer Sciencemaster thesis10.11575/PRISM/39401