The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 06, 2020

Filed:

Dec. 29, 2017
Applicants:

Sandeep Gupta, Phoenix, AZ (US);

Ayan Banerjee, Mesa, AZ (US);

Mohammad Javad Sohankar Esfahani, Tempe, AZ (US);

Seyed Koosha Sadeghi Oskooyee, Tempe, AZ (US);

Inventors:

Sandeep Gupta, Phoenix, AZ (US);

Ayan Banerjee, Mesa, AZ (US);

Mohammad Javad Sohankar Esfahani, Tempe, AZ (US);

Seyed Koosha Sadeghi Oskooyee, Tempe, AZ (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06N 20/00 (2019.01); G05D 1/00 (2006.01); H04L 29/08 (2006.01); H04W 40/24 (2009.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G05D 1/0088 (2013.01); H04L 67/12 (2013.01); H04W 40/24 (2013.01); Y02D 30/40 (2018.01);
Abstract

A Brain-Mobile Interface (BMoI) system is provided. A control circuit is configured to execute a predictive model to generate a defined number of predicted signal features in future time based on a number of signal features extracted from a first type sensory data (e.g., electroencephalogram (EEG) data). A predicted future mental state(s) can thus be generated based on the number of predicted signal features and used to trigger a corresponding action(s) in a BMoI application(s). In a non-limiting example, a second type sensory data (e.g., electrocardiogram (ECG) data) can be used to improve accuracy of the predictive model. By using the predicted signal features to generate the predicted future mental state(s) to control the BMoI application(s), it is possible to duty-cycle the BMoI system to help reduce power consumption and processing latency, thus allowing the BMoI application(s) to operate in real-time with improved accuracy and power consumption.


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