Difference between revisions of "Headband Helper"
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=== Gantt Chart === | === Gantt Chart === | ||
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[[Category:Projects]] | [[Category:Projects]] | ||
[[Category:Spring 2019 Projects]] | [[Category:Spring 2019 Projects]] | ||
Revision as of 17:46, 11 February 2019
Contents
Links
Presentation: https://docs.google.com/presentation/d/1va63ZxhfQByzYhv9sMv3vxhq-qosAvJl_7e99bX9yR8/edit#slide=id.g4f72464c2f_1_10
Project Proposal
Overview
We hope to construct an accelerometer-based concussion monitoring system using a Raspberry Pi OW that can be 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 an ad hoc IP network run by another Raspberry Pi.
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 an ad hoc IP network using a master Raspberry Pi to collect data from the headbands
- Ensure that the master Pi 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
- No experience with sensor networks; creating a fully debugged network will be difficult
Budget
- 2 accelerometers ($11.95 each, $23.90 total)[1]
- Shipping (~$8.00)
- 1 Amp battery & charger (TBD)
- Raspberry Pi 0W- headband (free)
- Raspberry Pi- master (free)
- 3D box to contain tracking materials within headband (free)
Total Budget: $31.90
Materials
- Raspberry Pi 0
- Accelerometer
Gantt Chart
