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Full-Text Articles in Physical Sciences and Mathematics
Exploring Emotion Recognition For Vr-Ebt Using Deep Learning On A Multimodal Physiological Framework, Nicholas Dass
Exploring Emotion Recognition For Vr-Ebt Using Deep Learning On A Multimodal Physiological Framework, Nicholas Dass
Faculty of Applied Science and Technology - Exceptional Student Work, Applied Computing Theses
Post-Traumatic Stress Disorder is a mental health condition that affects a growing number of people. A variety of PTSD treatment methods exist, however current research indicates that virtual reality exposure-based treatment has become more prominent in its use.Yet the treatment method can be costly and time consuming for clinicians and ultimately for the healthcare system. PTSD can be delivered in a more sustainable way using virtual reality. This is accomplished by using machine learning to autonomously adapt virtual reality scene changes. The use of machine learning will also support a more efficient way of inserting positive stimuli in virtual reality …
Improving Video Game Recommendations Using A Hybrid, Neural Network And Keyword Ranking Approach, Nicholas Crawford
Improving Video Game Recommendations Using A Hybrid, Neural Network And Keyword Ranking Approach, Nicholas Crawford
Faculty of Applied Science and Technology - Exceptional Student Work, Applied Computing Theses
Recommendations systems are software solutions for finding high-quality and relevant content for a given user type ranging from online shoppers, to music listeners, to video game players. Traditional recommendation systems use user review data to make recommendations, but we still want recommendations to perform well for new users with no review data. Currently, one of the problems that exists in recommendations is poor recommendation accuracy when only a small amount of data exists for a user, called the cold start problem. In this research we investigate solutions for the cold start problem in video game recommendations and we propose a …
Bench Tracker: Improving Actionable Insights In Smartwatch Fitness Application By Increasing Usability Through Simplification, Chris Campanelli
Bench Tracker: Improving Actionable Insights In Smartwatch Fitness Application By Increasing Usability Through Simplification, Chris Campanelli
Faculty of Applied Science and Technology - Exceptional Student Work, Applied Computing Theses
This thesis describes a smartwatch solution, called Bench Tracker for fitness monitoring using Apple Watches and Apple iPhone devices. The system involves a mobile based application that allows users to track and monitor bench press workouts in real-time to create actionable insights. By creating actionable insights on a smartwatch application, and improving the application’s usability through simplification, users agreed they would use the fitness application created that specifically tracked bench presses. A leading fitness app was used as the comparator, and it was discovered that users were undecided if they would use this app for bench press tracking. This paper …