2019 Startup Internship Reflection: Neuroview, Tiger Wu
Internship Location: Neuroview
My name is Tiger Wu, and I am a fourth-year computer science student in the UVA School of Engineering. For this semester, I am interning part-time with Neuroview, a start-up in Charlottesville that develops machine learning algorithms for detecting stroke, multiple sclerosis, and other neurological diseases. People with neurological diseases can show symptoms of their disease through their facial expressions. Neuroview aims to build an application that records videos of users’ facial expressions and accurately determine which users have neurological diseases. A machine learning algorithm for this problem would need to train on many videos of people making facial expressions.
When a user first visits the web site, the user is taken to a page with text containing Neuroview’s mission and terms-and-conditions. Once the user accepts the conditions, the user is taken to a page that records the videos. The website uses the recorder and video camera from the user’s machine to capture the movements of the user’s facial expressions. The page for recording videos contains two video frames: one for showing a video that demonstrates what facial expressions to make, and one for showing the user what the camera sees. On that same page, there is also a list of detailed instructions for how the applet should be used.
Moving forward, we may add security features to our site to keep out malicious users. We may consider adding a captcha on the first page for validating human users, and we may also add a more robust method for accepting terms and conditions. Furthermore, we may also redesign the recorder page to make it foolproof and more user-friendly. For example, a user might not finish making the facial expressions within the time limit. However, if we permit users to stop and start the recorder manually, some videos may take up more storage than necessary.