Invention Title:

BRAIN ACTIVITY MONITORING BASED MESSAGING AND COMMAND SYSTEM

Publication number:

US20240168553

Publication date:
Section:

Physics

Class:

G06F3/015

Inventors:

Applicants:

Drawings (4 of 18)

Smart overview of the Invention

The patent application describes a system and method for utilizing brain activity monitoring data to determine outputs for messaging or command execution on devices. This involves obtaining two or more signals from a user, which are generated through specific thinking patterns. These signals are processed to determine data values, which are then used to form a set of data values. This set ultimately determines the message or command to be presented or implemented.

Background

Brain Computer Interface (BCI) technology provides a communication pathway between the human brain and devices, utilizing various methods such as EEG signals. BCI has evolved from non-invasive implementations to more complex invasive techniques involving surgical implants. Despite advancements, challenges in BCI remain, prompting the development of more efficient systems like the one described in this application.

System Description

The system includes a brain activity monitoring device linked to a computer system with processors and memory. The processors use obtained brain activity data to generate signals through user-specific thinking patterns. These signals help determine data values that lead to forming a set of data values, which then guide the execution of messages or commands on connected devices.

Signal Processing

The system employs Signal Associated Algorithms (SAAs) to process signals based on specified conditions. These algorithms use logic and mathematical models to compare signal-related parameter data values (SRPDVs) against conditions to determine signal validity. The SAAs may include subalgorithms for filtering and optimizing data, ensuring accurate and efficient signal generation.

Applications and Configurations

The system can integrate various brain monitoring techniques, such as EEG or MRI, and utilize artificial intelligence for signal processing. It is adaptable, allowing physical integration with monitoring devices or devices executing commands. The system's flexibility extends to its ability to handle different types of brain activity data, including electrical and chemical activities.