Systems and methods for neuro-feedback training using video games

A method and system for neuro-feedback training are disclosed. According to certain embodiments, the method may include receiving, by a processor via a communication network, a brainwave signal measured by at least one sensor attached to a user. The method may also include determining, by the processor, a frequency distribution of the brainwave signal. The method may also include determining, by the processor, a reward in a video game when at least one first value indicative of an amount of the brainwave signal within a first frequency band meets a first criterion. The method may further include providing, to the user, a first feedback signal indicative of the reward.

The abstract as published by the patent office, from US2018184936A1. It describes the invention; it is not a statement of what is protected.

• Interface and electrodes

  Electrodes and arrays

• Signal processing

  Signal processing

• Decoding

  Neural decoding

• Application

  Assistive and control applications

What the filing appears to be about, read by published rules from its title, abstract and classification codes (A61B5/168, A61B5/374, A61B5/375, A61B5/6803, A61B5/7203). The claims define what a patent protects, and they are not read here.

Interface and electrodes

Everything downstream works with what the contacts pick up. Their number, size and distance from the neurons set the ceiling on the signal. The problem behind it: more contacts, closer to neurons, that still record after years in tissue that reacts to them.

Signal processing

A decoder is only as good as the features it is given, and recordings drift and pick up noise from movement, muscle and stimulation. The problem behind it: stable features from signals that change from day to day, computed fast enough to act on.

Decoding

This is the step that turns brain activity into a command or a word. Its accuracy and speed are what a user experiences. The problem behind it: accuracy that holds over months without frequent recalibration, for more than one user and one task.

Why the layer matters to the field, not a judgement of this filing. A patent family shows that protection was sought. It does not show that the technology was built, is used in a product, or works in people. The whole stack

One invention, published 4 times in 3 offices. Each publication opens in Espacenet.

• ChinaCN107479709A15 Dec 2017
• United StatesUS2018184936A15 Jul 2018US11751796B212 Sep 2023 · grant
• International (PCT)a route to several countries, not a countryWO2018127087A112 Jul 2018

1. 4 Jan 2017First filingEarliest priority, at United States. The family is counted in this year.
2. 16 Aug 2017ApplicationFiled at China.
3. 15 Dec 2017First publicationCN107479709A, China.
4. 4 Jan 2018ApplicationFiled at International (PCT).
5. 5 Aug 2020Office recordInternational (PCT), on WO2018127087A1: ep: pct application non-entry in european phase.
6. 19 Mar 2021Office recordChina, on CN107479709A: invention patent application deemed withdrawn after publication.
7. 28 Mar 2023Owner recordedUnited States, on US2018184936A1: assignment; owner named: BRAINCO INC., MASSACHUSETTS.
8. 12 Sep 2023Grant publishedUS11751796B2, United States.

Dates as the offices published them. Office records are in the offices' own words and are a selection: refusals, lapses and withdrawals, and records that name an owner. Each concerns one member of the family, not the family as a whole, and another member in the same office may stand. Whether a patent is in force today is not assessed.

Organisation

BrainCo · 18 families identified

Use case

Consumer

• Bibliographic data, family members and office records: European Patent Office, Open Patent Services (the DOCDB and INPADOC databases), read 7 Oct 2026.
• The record itself, with its claims and description: US2018184936A1 in Espacenet
• Counted as a BCI patent family: uses the field's wording; classified G06F3/015 (input arrangements based on nervous-system activity); filed by BrainCo Inc., an organisation already in the graph; cites a family already accepted; reads as consumer or automotive monitoring. How families are found and judged