Next-Generation Brain-Computer Interface Platform

Publication ID: 24-11857730_0005_PTD

Published: October 28, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Brain-Computer Interface Platform,” Published Technical Disclosure No. 24-11857730_0005_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857730_0005_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,730.

Summary of the Inventive Concept

A wearable electroencephalogram detection system that analyzes brain electrical signals to detect cognitive states, providing personalized recommendations for improving cognitive performance and enabling real-time neurofeedback training, brain-computer interfaces, and cognitive enhancement.

Background and Problem Solved

The original eyeshade and electroencephalogram detection system, while innovative, has limitations in its ability to provide real-time cognitive analysis and personalized recommendations. The new inventive concept addresses this limitation by integrating advanced cognitive analysis and machine learning algorithms to provide a more comprehensive and effective system.

Detailed Description of the Inventive Concept

The next-generation brain-computer interface platform consists of a wearable electroencephalogram detection unit, a cognitive analysis module, a personalized recommendation engine, and a real-time feedback generator. The wearable unit acquires brain electrical signals, which are then analyzed by the cognitive analysis module to detect cognitive states. The personalized recommendation engine provides tailored suggestions for improving cognitive performance based on the detected cognitive states. The real-time feedback generator provides instant feedback to the wearer during cognitive training exercises. The platform can also be integrated with brain-computer interfaces, enabling control of devices or systems based on the wearer's brain activity.

Novelty and Inventive Step

The new claims introduce a paradigm shift in the field of wearable electroencephalogram detection systems by integrating advanced cognitive analysis and machine learning algorithms to provide personalized recommendations and real-time neurofeedback training. This is a significant departure from the original patent's focus on temperature control and brain signal acquisition.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include varying the type of wearable device, integrating additional sensors or modalities, or adapting the system for specific industries or applications. Variations could also include different machine learning algorithms, cognitive analysis modules, or feedback mechanisms.

Potential Commercial Applications and Market

The next-generation brain-computer interface platform has significant commercial potential in industries such as education, healthcare, gaming, and neuroscience research. The system's ability to provide personalized recommendations and real-time neurofeedback training makes it an attractive solution for individuals seeking to improve cognitive performance, and its potential for integration with brain-computer interfaces opens up new possibilities for controlling devices or systems with the mind.

CPC Classifications

Section	Class	Group
A	A61	A61M21/02
A	A61	A61B5/369
A	A61	A61B5/6803

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Wearable neurotechnology and brain-computer interface systems, specifically involving electroencephalogram (EEG) signal acquisition, cognitive analysis, and human-machine interaction technologies

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with expertise in biomedical engineering, neuroscience, electrical engineering, and human-computer interaction, possessing advanced knowledge of signal processing, machine learning, and wearable sensor technologies

Obviousness Rationale

A person having ordinary skill in the art would recognize that extending the source patent's EEG acquisition system to include advanced cognitive analysis and personalized recommendation modules represents a predictable technological progression. The fundamental signal acquisition methodology remains consistent, with the primary innovation being the application of machine learning and cognitive analysis techniques to the existing EEG detection framework. Such extensions would be considered routine engineering adaptations within the established domain of brain-computer interface technologies.

Obvious Combinations & Variations

Source Patent Element

Electroencephalogram acquisition unit configured to acquire brain electrical signals from a wearer

PTD Variation

Integrating a cognitive analysis module to interpret and analyze the acquired brain electrical signals for detecting cognitive states

Obviousness Reasoning

Applying machine learning techniques to EEG signal interpretation is a known and predictable approach in neurotechnology, representing a standard design choice for extracting meaningful insights from neurological data

Source Patent Element

Temperature controller for adjusting heating parameters on the eyeshade

PTD Variation

Replacing temperature control with a personalized recommendation engine that provides cognitive performance suggestions

Obviousness Reasoning

Transforming a simple control mechanism into an intelligent feedback system is an obvious extension of existing human-machine interaction paradigms, utilizing standard machine learning and data analysis techniques

Source Patent Element

Wearable device with electrical signal acquisition capabilities

PTD Variation

Implementing a brain-computer interface system that translates neural signals into device control commands

Obviousness Reasoning

Neural signal decoding for device control is a well-established concept in neurotechnology, representing a predictable and logical progression of signal acquisition and interpretation technologies

Source Patent Element

Electroencephalogram detection system integrated with a controller

PTD Variation

Adding a real-time feedback generator for providing immediate cognitive performance insights during training exercises

Obviousness Reasoning

Incorporating real-time feedback mechanisms is a standard approach in human performance monitoring and training systems, representing a straightforward technological enhancement

Source Patent Element

Eyeshade with electrical signal acquisition capabilities

PTD Variation

Expanding the wearable platform to support multiple cognitive training and neurofeedback modalities

Obviousness Reasoning

Modular expansion of wearable neurotechnology platforms is a predictable design strategy, allowing for increased functionality through known system integration techniques

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857730 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking non-obvious inventive merit. The presented published technical disclosure demonstrates that the claimed cognitive analysis, personalized recommendation, and brain-computer interface extensions represent predictable technological progressions within the established neurotechnology domain, thereby rendering such claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,857,730
Title	Eyeshade and electroencephalogram detection system
Assignee(s)	BOE TECHNOLOGY GROUP CO., LTD.