Project Info
Inspiration
Sac State is the first college to recognize combat sports as part of its athletics program, moving beyond just club sports. However, in the first three months of training, a significant number of boxers have experienced concussions during sparring.
What it does
To address this issue, we’ve developed a solution: smart headgear designed to reduce the risk of concussions. By using advanced sensors, the headgear monitors impact forces in real-time and provides critical feedback, helping to protect athletes and enhance safety during training.
How we built it
We developed our smart headgear using a combination of hardware and software technologies to provide real-time impact monitoring. The hardware setup includes: Raspberry Pi Pico W – serving as the core controller for collecting sensor data. MPU-6050 Sensors – three-axis accelerometers and gyroscopes are integrated into the headgear to measure both linear and angular accelerations, which are critical for assessing impact forces.
Challenges we ran into
One of chllenges we ran into being able to stream data in real-time to our mobile app to provide real time feedback. We also broke ALOT of pins testing our headgear.
Accomplishments we're proud of
We are very proud to have our prototype completed
Analysis
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Metric
- 1
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Technology
- DartIn code
- PythonClaimed
1 of 2 appear in the indexed code. 1 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.
AI coding agents
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Codebase size
Source size
33 KB
Source files
6
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
rickNrip/headshotX
7 files · 33 KB · @ 1cd0d67
Structure
Application logic
5 files · 71%Domain rules, services and shared utilities.
Supporting
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Languages
- Dart100%
- Markdown0%
Share of indexed source by file size. Binary and vendored files are excluded.
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