Electronic device for recognition of mental behavioral attributes based on deep neural networks

This invention describes an electronic device that uses deep learning to figure out a person's mental state or mood. It does this by analyzing brain activity (EEG signals) and other body signals. Specifically, the device is designed to capture EEG signals from the left and right sides of the brain using electrodes placed on the scalp, then trains multiple deep learning models to recognize patterns and identify attributes like mental health or mood.

Why it matters: Since 2018, deep neural network architectures and training methodologies have advanced significantly, potentially improving the accuracy and efficiency of the complex multi-model recognition system described. This could make the sophisticated analysis of EEG and bio-signals more robust and practical.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedEEG electrodes, bio-sensors, deep learning software

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10