Fall 2017 DESIGN CHALLENGE
Design Brief deadline: September 8, 2017Topics: http://www.tsgc.utexas.edu/challenge/topics.html
Application: https://utexas.qualtrics.com/jfe/form/SV_2hF6PfXavtBiqRD
Deadline and timeline: http://www.tsgc.utexas.edu/challenge/timetable.html
Design Team Notebook: http://www.tsgc.utexas.edu/challenge/teaminfo.html
AFRL
- ATAK/WINTAK
- UAV- developing open source software for UAV applications
SRL PROJECTS
Wearables
- HaptiGo/HaptiMoto:
A navigational vest that we've used to navigate soldiers and motorcyclists. It connects to Google Maps and provides directions to users through vibrations on three locations on the users back. There are a few opportunities for projects on this one. The Android code is ancient and could do with updating, i.e. making the UI pretty, more intuitive, and runnable on modern Android phones. One study we've been wanting to do, that got held up by IRB but should be good now, is testing the vest on users suffering from cognitive decline to see if it would be feasible to use the vest to help them find their way home if they get lost. - CANE:
An offshoot of the vest focusing on navigation and obstacle avoidance for the blind. This is a belt that connects to Google Maps, and then navigates users to their destination using vibration motors. Past students have done quite a bit on this, so if you're really interested I'd have to check with them to see what remains to be done, but there are definitely a lot of different facets to it (everything from Android dev to wearable prototyping to conducting user studies) that you could work on. - PhysiotherAPPy:
A system designed to improve physical therapy compliance. It uses a Microsoft Kinect to detect arm exercises and then provides users with feedback using a wearable armband for tactile feedback (via vibrational motors) and a Windows application for visual feedback. Furthermore, it has an iOS app that allows for communication between the patient and the physical therapist, where both sides can track what exercises have been done. There is a ton of stuff that can be worked on here. First off we have most of a journal paper currently written, however, there remains a little bit of C# coding that needs to be done on the backend of the Windows application. Raniero, a Ph.D. student in SRL has offered to help with this. Once that's done we need to conduct user studies to test the efficacy of the entire system. All of that shouldn't take very long and can lead to a publication within the semester. In addition to this, you could also build a better armband, work on recognizing more exercises, improve the iOS app, build an Android version of the app, and/or improve the Windows application. - Healthy Activities:
Josh, a Ph.D. student in SRL expands the range of activities that wearable devices can recognize from things like steps walked and calories burned to daily health activities such as brushing teeth, washing hands, etc. To do this I use machine learning, and have built Android and Pebble apps to collect data. One area for projects would be to use machine learning to recognize other such activities (not necessarily health).
Mechanix
Mechanix is a system we built for teaching undergraduate physics/statics students how to draw trusses and the forces acting on them. I believe we're in the process of converting this to a web application, so this would be a good opportunity to work on front-end and/or back-end development. Mattew, a Ph.D. student in SRL has been working on this project.
Persketchtivity
Persketchitivity is a web application that teaches undergraduate engineering students how to draw in perspective, so this is also a good project for working on front-end and/or back-end development as well as sketch recognition. Blake, a Ph.D. student in SRL has been working on this project.
Eye-tracking
This research is focused on developing new interactions with eye-tracking. Vijay, a Ph.D. student in SRL has been working on developing a system that uses an eye-tracker and a foot-wearable to replace the traditional mouse for those are unable to use their hands. More recently he's also been using it as an alternative to manually entering your PIN at an ATM machine. This is a really great project to get on if you're interested in eye-tracking, developing wearables, and coding in C++ and/or C#.
Neuropsychological sketch recognition
Raniero Lara-Garduno, a Ph.D. student in SRL, is working on a project that digitizes tablet-based versions of neuropsychological tests (such as the Rey-Osterrieth complex figure test) that traditionally have been administered via paper and pencil. These tests help a clinician diagnose a patient's cognitive level, and some preliminary testing has yielded the ability to discern novel and interesting information. By only analyzing the sketches, for instance, the tool could help determine someone's age category. There's a multitude of these tests that can be feasibly digitized, and implementing one or two of these tests can be an interesting and fulfilling semester-long project.
KidGab
KidGab is a social network for little girls. There's a lot of opportunities here. This is great if you're interested in any kind of web development (both front end and back end) but also if you'd like to do machine learning. You could work on improving the user experience by adding functionality or could work on analyzing any of the vast datasets accumulated using machine learning to see if you can discern anything.
KidGab is a social network for little girls. There's a lot of opportunities here. This is great if you're interested in any kind of web development (both front end and back end) but also if you'd like to do machine learning. You could work on improving the user experience by adding functionality or could work on analyzing any of the vast datasets accumulated using machine learning to see if you can discern anything.
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