18585954. Soft Wireless Headband Bioelectronics and Electrooculography for Persistent Human-Machine Interfaces simplified abstract (GEORGIA TECH RESEARCH CORPORATION)

Soft Wireless Headband Bioelectronics and Electrooculography for Persistent Human-Machine Interfaces

Organization Name

GEORGIA TECH RESEARCH CORPORATION

Inventor(s)

Woon-Hong Yeo of Atlanta GA (US)

Soft Wireless Headband Bioelectronics and Electrooculography for Persistent Human-Machine Interfaces - A simplified explanation of the abstract

This abstract first appeared for US patent application 18585954 titled 'Soft Wireless Headband Bioelectronics and Electrooculography for Persistent Human-Machine Interfaces

The abstract describes a system that includes a set of electrooculogram (EOG) sensors connected to a brain-machine interface, allowing for the classification of brain signals as control signals through a trained neural network.

• The system consists of EOG sensors with flexible electrodes on a flexible-circuit substrate, connected to analog-to-digital converter circuitry and wireless interface circuitry.
• The brain-machine interface includes a processor and memory with instructions to receive EOG signals, classify brain signals as control signals, and output the control signals.

Potential Applications: - Assistive technology for individuals with physical disabilities - Brain-computer interfaces for controlling devices or applications - Research in neuroscience and brain signal processing

Problems Solved: - Providing a non-invasive method for controlling devices using brain signals - Enhancing communication and control options for individuals with limited mobility

Benefits: - Improved quality of life for individuals with physical disabilities - Enhanced research capabilities in neuroscience and brain-computer interfaces - Potential for new innovations in assistive technology and human-computer interaction

Commercial Applications: Title: "Innovative Brain-Machine Interface System for Assistive Technology and Research" This technology could be utilized in the development of assistive devices, medical applications, and research tools in the healthcare and technology industries.

Prior Art: Researchers can explore existing patents and academic literature on brain-machine interfaces, neural networks, and assistive technology to understand the background of this innovation.

Frequently Updated Research: Stay informed about advancements in brain signal processing, neural network training, and the development of brain-computer interfaces for potential improvements or new applications.

Questions about Brain-Machine Interface Systems: 1. How do brain-machine interfaces impact the field of neuroscience research?

  - Brain-machine interfaces provide valuable insights into brain signal processing and cognitive functions, advancing our understanding of the brain's capabilities.

2. What are the ethical considerations surrounding the use of brain-machine interfaces in assistive technology?

  - Ethical considerations include privacy, consent, and potential misuse of brain signals for control purposes.

Original Abstract Submitted

An exemplary system includes a set of electrooculogram (EOG) sensors, each including an array of flexible electrodes fabricated on a flexible-circuit substrate, the flexible-circuit substrate operatively connected to an analog-to-digital converter circuitry operatively connected to a wireless interface circuitry; and a brain-machine interface operatively connected to the set of EOG sensors, the brain-machine interface including: a processor; and a memory operatively connected to the processor, the memory having instructions stored thereon, wherein execution of the instructions by the processor causes the processor to: receive EOG signals acquired from the EOG sensors; continuously classify brain signals as control signals via a trained neural network from the acquired EOG signals; and output the control signals.