Secure wireless communication of brain-computer interface and mind control of smart devices enabled by...

Area of Science:

• Neuroscience
• Electrical Engineering
• Materials Science

Background:

• Existing brain-computer interface (BCI) technologies primarily focus on signal transmission, often lacking robust security and reliability in complex wireless environments.
• Current BCIs have limited consideration for safeguarding human brain information interactions.
• The need for secure and reliable human-machine interfaces is growing with advancements in BCI and wireless technologies.

Purpose of the Study:

• To propose a deep fusion coding scheme integrating BCI visual stimulation coding with metasurface space-time coding.
• To develop a secure wireless communication system for brain-computer interfaces using a brain space-time-coding metasurface platform.
• To establish a reliable and safeguarded paradigm for remote human-machine interactions.

Main Methods:

• A deep fusion coding scheme combining BCI visual stimulation coding and metasurface space-time coding was developed.
• A brain space-time-coding metasurface platform was designed and fabricated.
• The system utilized harmonic-encrypted beams for secure wireless communication.

Main Results:

• A proof-of-principle prototype was successfully designed and fabricated.
• Experimental results demonstrated the feasibility of the proposed wireless BCI scheme.
• The system established a remote, secure communication channel for human-machine interactions.

Conclusions:

• The proposed deep fusion coding scheme offers a reliable and secure method for brain-computer interface communication.
• The brain space-time-coding metasurface platform provides a novel approach to secure wireless systems.
• This research presents a potential future direction for secure wireless communications and intelligent metasurfaces.