Enhancing Virtual Reality Immersion through Physiological and Emotional Analysis using Machine Learning

Pagadala, Samyukta (2024) Enhancing Virtual Reality Immersion through Physiological and Emotional Analysis using Machine Learning. Masters thesis, Dublin, National College of Ireland.

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Abstract

This dissertation concerns the concept, development, evaluation, and deployment of an emotion recognition system powered by machine learning to boost Virtual Reality (VR) experiences in educational and interaction spaces. Applying three distinct datasets, data preprocessing, feature extraction, and state-of-the-art approaches to the classification of emotional states provides high accuracy of the research. The study covers the design, implementation, and dynamic assessment of a model working within the system, as well as data complexity issues, the choice of an optimal model, and its application in real-world conditions. Further it focuses on the specification of the system architecture, data management, processing approach, and models for classifying emotions an incorporating Virtual Reality component. In the implementation, it describes countless techniques, employed five machine learning models, and five-fold cross-validation for doubling our accuracy rates.

This study serves as a groundwork towards developing more immersive, tailored, and hyper-realistic virtual interactions and discusses ways forward in accommodating new data, including, but not limited to, diversely sized and deep learning implementations across the data-sensor display pipeline.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Menghwar, Teerath Kumar UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning T Technology > TA Engineering (General). Civil engineering (General) > Systems engineering > Simulation methods > Mathematical models > Computer simulation > Virtual reality
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	03 Sep 2025 15:29
Last Modified:	03 Sep 2025 15:29
URI:	https://norma.ncirl.ie/id/eprint/8763

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