Inspiration
We have seen people with disabilities work so hard for their lives with all the resources they have, yet we don't think how we can make this world, an inclusive space for all. Taking our interest on healthcare, accessibility tech and the world's upcoming tech storm, Brain Computer Sciences, we, The Neuro-Enhanced eXploratory Team, The NEXT, created NeuroNav, a brain controlled wheelchair for our mobility-impaired folks.
What it does
NeuroNav, a brain controlled wheel-chair that our users who might have different stages of mobility impairment. It not only helps them get their independence of travelling by self back, but also helps them in different aspects like send emergency distress signal by mapping panic ECG and EEG patterns and allowing the user's close chosen friends and family to control the wheelchair remotely with a live feed at the time of emergency.
How we built it
The product worked in three parts:
EEG - First Part: Getting EEG Patterns. Our brain generates 4 signals in general, Alpha-Beta-Theta-Delta. Every time we do some task like walking, lifting objects, etc they generate in a certain pattern. There fore we mapped these EEG signals of push and pull.
Signal Processing - Second Part: After acquiring the EEG Signals, we sent those signals to the server where the server processes the signals and maps them to different actions like push is mapped to moving forward whereas pull is mapped to moving backward.
** Training Simulation** - Final Part: Using such great tech in the real world is definitely an awesome feeling but we might need some experience before so we have created a simulation environment where the user can train themselves for using it appropriately in the real world.
Challenges we ran into:
As newcomers to the field of electronics and with no prior experience in IoT, we encountered several challenges during the development process. One of the primary hurdles was frequent short circuits, which unfortunately damaged some of the sensors and development boards.
Although we managed to operate the wheelchair, we couldn’t fully determine the reason behind its inconsistent performance.
To ensure we could present a working prototype for submission, we developed a simulation to demonstrate the wheelchair's movement effectively.
Accomplishments that we're proud of
Well this was a very mixed team with different levels of experience. But none of us had experience with IoT. Even though the last of our sensor got fried, and our IoT demo couldn't run, we did each and everything by learning together. It is the best feeling!
What we learned
High voltage doesn't only fry circuits, but also brains! #IoT_Victims
Built With
- cortexapi
- css3
- esp8266
- html5
- internet-of-things
- javascript
- python
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