Competitive Advantages:
- No physical movement of the body is required, just mental intellect for making selections
- Highly accurate in making the choice, as accompanied by machine learning classifier to improve the performance
- Useful for aged people and with physical disabilities
- Not limited just to voting but finds its application in various day-to-day activities
Summary:
USF researchers have created a brain-computer interface that enables a person to vote and make selections using only their brain activity, without utilizing any other physical input. The non-intrusive process employing a wearable headset enables users to choose their preferred candidate to vote for. A machine learning algorithm is used by the voting system to categorize brain data and forecast user votes. The system may be set up to synchronize with the user's brain activity to preserve the uniqueness and veracity of each vote (as a mental fingerprint). The benefit of such a method is that it can help elderly people and physically challenged employees who could accidentally cast their ballots. Such a method may be used wherever a decision or a choice needs to be made, such as in window shopping, computer interfaces, MCQ tests, etc. It is not just restricted to voting. These assistive technologies have countless potential applications.
Flow chart describing the working of the system
Desired Partnerships:
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License
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Sponsored Research