Inspiration
The dangers astronauts face on their space walks. As well as the antiquated tools and tech they still use. During his hackathon our team worked on a small aspect of a greater project. We investigated a method for the field operators to be able to control the system without distracting them from the task at hand, and to provide a non intrusive user interface.
What it does
Our project uses an eeg headset to monitor electrical signals in the brain. The headset captures raw data and feeds it through software that processes the signal through different filters looking for certain thresholds. The idea is we can observe what certain thoughts and motions produce in terms of brain activity.
How we built it
We used an OpenBCI eeg headset, and the open source software available on git repo to stream raw eeg data from a subject. The raw data was manipulated through different filters to focus on different thresholds.
Challenges we ran into
Originally we wanted to make the project mobile using a raspberry pi and connecting the headset to the pi however the OpenBCI Python code we used was under commented and not built for linux which is what the pi runs on. So we had to redirect and just focus on learning, getting and interpreting the raw data.
Accomplishments that we're proud of
We are successfully extracting and broadcasting raw data from the eeg headset through udp and tcp for streaming.
What we learned
we learned
What's next for Resource Integration Gear RIG
We will
Built With
- blood
- effort
- java
- openbci
- python
- raspberry-pi
- sweat
- tears
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