50 likes | 132 Views
18-549 Design and Architecture: 2/19/2014 Rapid Ocular Sideline Concussion Diagnostics. Team 8. Brandon Lee--Andrew Pfeifer--Thomas Phillips--Ryan Quinn. 1. Status Update.
E N D
18-549 Design and Architecture: 2/19/2014 Rapid Ocular Sideline Concussion Diagnostics Team 8 Brandon Lee--Andrew Pfeifer--Thomas Phillips--Ryan Quinn 1
Status Update • Our Project consists of a head-mounted eye-set that provides automated ocular-based concussion testing and diagnosis for sideline use. • Project Status • In communication with several experts, planned meetings and phone calls to gather concussion-based research and contacts • General idea endorsement by Dr. Vincent Miele, with suggested addition of integrated balance testing • Proposal submitted to NFL-UA-GE Head Health Challenge II • Parts Status • Prototype parts ordered on February 8th, most acquired this morning 2
Architecture Concussion-Testing Eyeset Android Tablet A TFT Display Camera B App Trainer Player 2 RasPi OpenCV Kernel D WiFi Module C 3 Diagnosis (Existing) Accelerometer Sensor / Observer 1. Severe impact observed, player brought to sideline 2. Concussion testing A. Tests administered via TFT display B. Eye movements recorded in response to tests C. Image/Video Processing on responses D. Resultant data sent over WiFi link 3. Trainer analyzes data in tablet interface 1 3
Use Cases Application Eyeset Startup Begin Test Cycle* Waiting for Trainer 1. Severe impact observed 2. Player moved to sideline 3. Eye-set equipped 4. Trainer activates testing via App interface 5. Test cycle begins A. Visual test on TFT display B. Eye (pupil) responses recorded 6. Image/video processing on responses to compile test results 7. Next test administered 8. Diagnosis given *Test cycle includes: 1. Dilation Test 2. Depth Test 3. Tracking Test Begin Test Procedure Tests in Progress... Record Responses Display Visual Test * Present Test Results Gather/Process Test Results Shutdown Send Test Results 4