Idea Name: |
EEG-run Game |
Slogan: |
Where gaming meets the brain |
Supervisor Name: |
Wajid Mumtaz |
Supervisor Designation: |
Assistant Professor |
Supervisor School: |
SEECS |
Supervisor Department: |
Electrical Engineering |
Contact number: |
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Email ID: |
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Abstract: |
A Simulator Game that is to be controlled using decoded EEG signals, to be used for people with paralysis, so that they can train on a simulator before going for the Physical Wheelchair. |
What is the unmet need in society that your idea will fulfill ? |
These days modern technology allows people with paralysis to communicate some way again, like say control a wheelchair using EEG signals. However they should have to train on a simulator before going for physical devices. Our project will allow them to do that. |
Who needs it ? How many would benefit ? |
People with severe disabilities need it so that they can train with the headset on a simulation. |
How will the solution works |
Our project will use ML techniques to decode EEG signals into classes based on the actions that produced the signals. The decoded part will be a vector, encoding the solution in 'one-hot' format. That vector will be used as a control signal for our wheelchair agent in the simulator game. The game will act as a simulator for the wheelchair movement, and will be according to the Physics of the motion of the wheelchair. |
Who are your competitors ? How is your solution different |
Multiple research papers have been written on this topic. Our project is unique in the sense that the ML algorithm and DSP pre-processing combination is unique, along with the fact that we are using a well-known game engine, Unity, which allows good graphics and Physics simulations, with 3 controls. |
Status: |
new |
Entry Date & Time: |
2021-12-15 (1824) |