Demonstration of an application that gives teachers realtime metrics and visualizations of classroom attention. I consulted on the concept and provided guidance on using React Native to build the clientside application.
This was the final deliverable for a computer architecture class. We were asked to design an IOT product that would solve a specific problem, and the greatest threat to any Monterey Bay student in 2018 was finding a parking spot on-time for class.
We acknowledged the fact that all the university parking lots were in open-air and had proximity to the school's WiFi. Therefore, we created an IOT-connected sensor to detect open parking spaces, and report needed parking spaces to students. This device only requires WiFi access points to operate, and can be placed at the end of any parking spot. All the software needed can be run in on-demand compute services for a minimal cost. I ended up providing the IOT glue for the device, the frontend webapp, and orchestrated the backend services to demonstrate sending parking updates to students.
A poster I co-authored demonstrating a novel gesture sensor, built from an array of bend resistors.
I implemented a recognizer using a Long-Short Term Memory Recurrent Neural Network, it achieved accuracy surpassing the competing Myo sensor for the same set of gestures. I also wrote drivers for the sensor itself using the Arudino toolkit and python serial IO libraries.
Here's some of my other work from the web:
Working demonstration of multiple LeapMotion infrared trackers being used on one PC. This work was intended for an interactive projection surface, and would allow multiple people to manually interact with applications displayed on the glass.
This was achieved using SystemD-Nspawn process containers in linux, as the Leap driver at the time did not allow for multiple controllers to be connected to one machine. I used the process isolation provided by SystemD to filter the USB identifiers of the controllers in each container, so that only one controller was seen per container instance. Since the Leap driver is exposed via websocket, this allows for an application to use multiple controllers at once.
A local construction company in LA needed a new website to exhibit their previous work. Their old site was predicated mostly on SEO content, without much for human visitors to see. I took some queues from other contractor portfolios and made a gallery page which expands to show the summaries of the jobs.
An experimental social network that allows you to anonymously create 'beacons' on a shared map. The beacons can tell others what you're up to or things going on in the area, through text and/or images. You can click on these beacons all over the map, or you can view them as a feed with more details.
Concept of an infinite runner as a VR exercise game. I worked on this as part of a small team for my game programming final project.
I implemented a primitive motion tracking solution based on work I had done for a past research project. The game is able to track quick side-to-side movements or jumping, and maps it in-game so you can avoid obstacles approaching you. This works by calibrating offsets against the accelerometer, and checking the magnitude of acceleration in each direction to determine which way the player wants to dodge.
What happens when you put Donald Trump's twitter account into a recurrent neural network? You get a trump robot of course.
The notebook has more details on how this works, but here's a sampling of the final product
Doug Jones are using the incompetent and back to Super Monthman Steep and so many go? Great job on @nbc @FoxNews but we've said that took lead trade!
Moore is being released. Not even close. Can we mate must be announce that it's donely high failure of winning 94,000 fuch atclited to learn!
Jones tonight! The Democrats… CAFFO. I will not want to take in a different lightment said I will leave for America! He had to see the brave!