Difference between revisions of "Headband Helper"
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*Raspberry Pi 0 (free) | *Raspberry Pi 0 (free) | ||
*Accelerometer ($11.95)[https://www.digikey.com/product-detail/en/sparkfun-electronics/SEN-14480/1568-1811-ND/8032538?WT.srch=1&gclid=EAIaIQobChMI066LuLWg4AIVqLSzCh1RlgNEEAQYAyABEgJXT_D_BwE] | *Accelerometer ($11.95)[https://www.digikey.com/product-detail/en/sparkfun-electronics/SEN-14480/1568-1811-ND/8032538?WT.srch=1&gclid=EAIaIQobChMI066LuLWg4AIVqLSzCh1RlgNEEAQYAyABEgJXT_D_BwE] | ||
| + | *9V Batteries ($7.47) | ||
*Server/web host - AWS (free) | *Server/web host - AWS (free) | ||
| − | *3D box to contain tracking materials within headband | + | *3D box to contain tracking materials within headband (Free) |
=== Materials === | === Materials === | ||
Revision as of 20:43, 3 February 2019
Contents
Links
Project Proposal
Overview
We hope to construct an accelerometer-based concussion monitoring system that is contained within a headband. In addition, we will create a web interface that allows users to track their impact history. These two pieces (software and hardware) will communicate using Bluetooth.
Team Members
- Jarrod Huther
- Katy Mockett
- TA: Ethan Shry
- Professor: James Feher
Objectives
- Create an accelerometer-based concussion monitoring system that can be contained within a headband
- Create a web interface that allows users to track their impact history which is stored in a database
- Ensure that the device and web interface can successfully communicate
Challenges
- We both have limited experience with circuitry
- We both are comfortable working in Java but have never really used any languages beyond Java
- 3
Budget
- Raspberry Pi 0 (free)
- Accelerometer ($11.95)[1]
- 9V Batteries ($7.47)
- Server/web host - AWS (free)
- 3D box to contain tracking materials within headband (Free)
Materials
- Raspberry Pi 0
- Accelerometer
Gantt Chart
