HumanBlackBox is a native Google Glass application that runs as a background service monitoring the user for a fall or collision. If our algorithm determines the user is in a fall or collision, Glass will record a short video and notify selected contacts that the wearer maybe in trouble.
HumanBlackBox was conceived by me during the 2014 LA Hackathon. At the Hackathon, I unfortunately did not have enough programming knowledge in Java to make the application happen in 72 hours. When I was taking a Java programming class, I introduced this idea to my final project group. Over a month and a half, we researched and developed HumanBlackBox with Katherine Guardado, Byron Icute, Olivia Irving and myself, Logan Cai.
We attempted to patent our code and algorithm with UCLA Office of Intellectual Property & Industry Sponsored Research (OIP) with the assistance of our Professor Blake Hunter. We titled the patent, Automated Video Capture for Wearable Devices, but OIP was unable to secure us a client who will purchase our patent.