PainlessVR is a research tool that allows researchers from medical, psychological and any other fields to test hypotheses about Virtual Reality without any development at all. The goal of the product is to improve future virtual reality pain management applications by removing the barriers to researching virtual reality. PainlessVR allows researchers to modify, and by extension study, variables regarding color, sound, context and cognitive load. Improving VR pain management would mean improving care for those who are unable to take traditional pain medication such as burn victims or recovering opioid addicts.

The company Test Innovators helps students prepare for standardized tests like ISEE/SSAT. Students sign up to their platform and take practice exams. They have more than 20,000 students signed up till date and pocess more than 5,000,000 questions on their system. The company wanted to build a system which automatically analyzes the student's progress in their practice tests and recommend ways to improve their scores. We have built a system, PrepSmart, that automatically learns from past experiences of students who are similar to the current test taker and suggest their features to the current test taker to improve his scores. Recommendations can be anything like strong/weak subject areas, time to answer questions,additional question banks and tutoring services. PrepSmart helps students in improving their overall scores and it also helps the sponsor in generating additional revenue by selling recommended question banks and tutoring services.

During this project I worked with the Ozarks Literacy Council to establish the statistics on their user groups. Due to the OLC being a non-profit, their funding is based on the support of organization such as United Way. However, with a recent change in administration, there is a lack of evidence as to which demographics are utilizing the services offered by the OLC and where gaps lie in services offered. I compiled statistics gathered by the OLC and used Excel to created a spreadsheet utilizing macros that will make keeping stats in the future more user friendly so they are able to maintain this information on their own in the years to come. Additionally, I created an infographic highlighting user satisfaction and accomplishments by the learners that will be used to increase grants and fundraising.

In 2014, the EMP Museum launched Indie Game Revolution, the first large-scale museum exhibit dedicated to the history, art and culture of independent video games. The EMP desired to add the games displayed to their permanent collection, but had never before archived digital-native video games. Building off a pre-capstone project to determine what could be preserved for each game while working within the EMP’s scope and budget, our capstone team prepared 30 games for the collection. For each game, we archived DRM-free versions of the game files; recorded hours of gameplay footage; created a catalog record in a custom metadata schema built for the project; and, when possible, conducted oral history interviews with the game’s developers. These packages will not only preserve the games but help future researchers understand the era’s independent game development.

From hardware setup to data acquisition and analysis, depression researchers go through a long, convoluted process to understand electroencephalogram (EEG) data (popularly called brain waves) collected from patients. Acquired data is often messy and difficult to process, and analysis can take from hours to days to return results. Our project, Slate, aims to change that by providing a platform that streamlines this process, and provides a fully interactive 3D model to visually digest the data. Slate is a cross-platform desktop application that consists of two parts: an EEG data processing tool, and a data visualization tool that allows depression researchers to view and analyze brain signals obtained through a non-invasive, commercial EEG headset. Slate utilizes real-time modeling and neuroimaging techniques to allow more meaningful understanding of EEG data in the process of interpreting and identifying depressive patterns in research, with the goal of ultimately serving patients.

One in four children worldwide is affected by eye disease, and because nearly half of parents in the US with children under age 12 have never taken them to an eye care professional, many critical vision abnormalities go unnoticed. However, if caught early on, about 80% of cases can be resolved, preventing lifelong vision problems. Our Android application, Vision Screener, was created to bridge this gap and assist parents in determining if their child is at risk of eye disease. A parent can simply take an up-close picture of their child as instructed, and the app will analyze it instantaneously. If results indicate a risk of disease, the app helps parents find a nearby eye care professional for further diagnosis. Through this application, we hope to increase early detection of eye disease so more cases can be treated. If you could save a child’s sight by taking a picture, wouldn’t you?

94% of consumers research cars online before purchasing, and about a third willing to buy a car online. CDK Global’ s digital advertising department makes online marketing easy for vehicle dealers by budgeting and handling digital advertisement to increase customer reach and sales. We have focused on improving their budgeting process with an efficient and accurate model that improves transparency and customer satisfaction. We used predictive analysis to develop a model using Google AdWords, market demand and vehicle sales data for a particular Marketing Area to give a sophisticated budget proposal. This model will give insight into the top selling car models for a dealer and the amount of dollars the dealer needs to spend to advertise those models. The Advertising Analysts will be able to use this model to derive detailed performance of a client in a quicker and precise fashion, increasing the overall efficiency of the budgeting process.

The proliferation of Internet connected devices in the home has brought with it a disparate array of user interfaces. Use of multiple devices often means changing from one interface to another, yielding a disjointed experience. Further, a massive amount of information is collected and stored in these devices. Cisco Dash is a web application that serves as a single location to view and use Internet of Everything devices. It also provides an enterprise-grade analytics platform to give users the capability of making smart living decisions at home.

Improperly fitted-shoes can lead to foot ailments such as inflammation, muscle and tendon pain, and even circulatory problems. People are uninformed about the condition of their feet and factors like arch support, width, cushioning and even shoe condition can have a drastic impact on shoe performance. Feet diagnostics should be readily available to empower the user to make educated decisions about their footwear. Fito is a dashboard that aggregates foot metric data collected from insole sensors, provided by Boogio, to give users feedback regarding the fit of their shoes regularly over time. The sensors collect raw pressure and accelerometer data to provide data visualizations, a foot strike analysis, and estimated shoe-life. By making sense of the foot data and providing the user with insight into the mechanics of their feet, users are empowered to find shoes that are tailored to provide them with proper support and comfort.