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Direct wireless communication of human minds via non-invasive brain-computer-metasurface platform


Determine 1: The system structure of EBCM. The operator outfitted with electrodes and P300 BCI machine can instantly instruct the metasurface with numerous EM features below visible stimulus with the precise non permanent coding sequences. 4 typical schemes together with brain-wireless communications, coding sample encoding, beam scanning, and multi-function of EM modulations are demonstrated. Credit: Qian Ma, Wei Gao, Qiang Xiao, Lingsong Ding, Tianyi Gao, Yajun Zhou, Xinxin Gao, Tao Yan, Che Liu, Ze Gu, Xianghong Kong, Qammer H. Abbasi, Lianlin Li, Cheng-Wei Qiu, Yuanqing Li and Tie Jun Cui

Not too long ago, coding metasurfaces incorporating lively elements have enabled real-time and programmable controls over EM functionalities, which was static or fairly restricted in typical passive counterparts. Nonetheless, these sorts of metasurfaces nonetheless require handbook operation. To instantly examine and distinguish the human’s will, the brain-computer interface (BCI) is offered to determine communication between the mind and gadgets, providing a brand new management perspective for programmable metasurfaces. By amassing mind indicators, a BCI can decode the operator’s intentions and ship instructions to the managed objects, with none requirement for the operator’s muscle exercise.

In a brand new paper revealed in eLight, a group of scientists, led by Professor Tie Jun Cui from State Key Laboratory of Millimeter Waves, Southeast University, China, and associates have developed an electromagnetic brain-computer-metasurface (EBCM) to flexibly and non-invasively management data syntheses and wi-fi transmissions.

The offered EBCM cannot solely translate the operator’s mind messages to EEG indicators, and additional into numerous EM instructions, but additionally carry out wi-fi “mind-communication” between two operators. As proven in Fig. 1, a displayer is positioned in entrance of the operator to indicate the associated instructions. By merely staring on the desired command, the EBCM can perceive the operator’s intention and notice the EM features together with visual-beam scanning, wave modulations, and sample encoding.

The researchers designed and experimentally demonstrated the wi-fi textual content communication based mostly on the EBCM, as proven in Fig. 2. A textual content GUI is offered for the BCI operator, the place the visible buttons are instantly coded as a selected coding sequence consisting of “0” and “1.” Within the experiment, the single-beam mode with excessive achieve and the random scattering mode with low achieve are used to tell apart the amplitude of metasurface reflections, which correspond to codes “1” (excessive amplitude) and “0” (low amplitude), respectively, for wi-fi data transmission.

As an indication of the prototype, the researchers demonstrated the wi-fi transmission of textual content from one operator to a different within the EBCM communication system. Operator A, because the textual content sender, sends letters by visually wanting on the character buttons on the EBCM GUI. When the goal letter is decoded from the EEG sign, an ASCII-based encoding sequence is applied on the FPGA to change time-varying modes, manipulating the metasurface to ship data into house, which is obtained, demodulated, and offered by one other operator’s EBCM.

Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform
Determine 2: The system structure of the text-communication system in addition to the coding and decoding course of. Credit: Qian Ma, Wei Gao, Qiang Xiao, Lingsong Ding, Tianyi Gao, Yajun Zhou, Xinxin Gao, Tao Yan, Che Liu, Ze Gu, Xianghong Kong, Qammer H. Abbasi, Lianlin Li, Cheng-Wei Qiu, Yuanqing Li and Tie Jun Cui

“The average inputting time of each character is about 5 s using the P300-based BCI by a skillful BCI operator. It is possible to improve the text input speed by applying some quick-spelling paradigms. It is also worth mentioning that the P300-based BCIs yield great accuracies and robustness among various noninvasive BCIs,” they added.

“The presented work, combining the EM wave space and BCI, may further open up a new direction to explore the deep integration of metasurface, human brain intelligence, and artificial intelligence, so as to build up new generations of bio-intelligent metasurface systems.” the scientists forecast.


A metasurface-based light-to-microwave transmitter for hybrid wireless communications


Extra data:
Qian Ma et al, Straight wi-fi communication of human minds through non-invasive brain-computer-metasurface platform, eLight (2022). DOI: 10.1186/s43593-022-00019-x

Quotation:
Direct wi-fi communication of human minds through non-invasive brain-computer-metasurface platform (2022, June 13)
retrieved 13 June 2022
from https://techxplore.com/information/2022-06-wireless-human-minds-non-invasive-brain-computer-metasurface.html

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