(Georgia Institute of Technology, 2021-11-23)
Durrani, Faris; Ghora, Rishabh
This paper considers the application of eye movements to user interfaces, mainly as an input to user interfaces allowing for a new premise to control applications with less need to physically touch any buttons or screens. The paper first introduces the topic of eye-tracking and how such an implementation on user interfaces would be beneficial. Next, we review previous literature on similar subjects in order to clarify what research has already developed in this field and how we will use findings from other papers to enhance our system. Finally, we implemented an application that combines eye movements with finger gestures as user inputs to showcase the feasibility of having an application that is concurrently considering both forms of input.
(Georgia Institute of Technology, 2016-04-24)
Powers, Joshua
The author outlines how big data software can be utilized to speed up health analytics software when faced with big data problems. Specific data analytics from the Observational Health Data Sciences and Informatics (OHDSI) Analytics tool's will be rewritten to demonstrate Apache Spark's ability to more quickly process data with Resilient Distributed Dataset (RDD) in comparison to the use of traditional relational databases such as PostgreSQL.
(Georgia Institute of Technology, 2015-12)
Powers, Joshua
Proposal of a visual representation for online course structure
in order to drive intelligent feedback. The project considers the need to
utilize advanced technical features over traditional non-digital educational
methods and the advantages of a visualization in the development of online
learning. The effectiveness of this approach is demonstrated by applying the
visualizations to real world, live courses offered by edX.