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

Authors :
Ma, Qian
Gao, Wei
Xiao, Qiang
Ding, Lingsong
Gao, Tianyi
Zhou, Yajun
Gao, Xinxin
Yan, Tao
Liu, Che
Gu, Ze
Kong, Xianghong
Abbasi, Qammer H.
Li, Lianlin
Qiu, Cheng-Wei
Li, Yuanqing
Cui, Tie Jun
Source :
eLight 2022
Publication Year :
2022

Abstract

Brain-computer interfaces (BCIs), invasive or non-invasive, have projected unparalleled vision and promise for assisting patients in need to better their interaction with the surroundings. Inspired by the BCI-based rehabilitation technologies for nerve-system impairments and amputation, we propose an electromagnetic brain-computer-metasurface (EBCM) paradigm, regulated by human's cognition by brain signals directly and non-invasively. We experimentally show that our EBCM platform can translate human's mind from evoked potentials of P300-based electroencephalography to digital coding information in the electromagnetic domain non-invasively, which can be further processed and transported by an information metasurface in automated and wireless fashions. Directly wireless communications of the human minds are performed between two EBCM operators with accurate text transmissions. Moreover, several other proof-of-concept mind-control schemes are presented using the same EBCM platform, exhibiting flexibly-customized capabilities of information processing and synthesis like visual-beam scanning, wave modulations, and pattern encoding.

Details

Database :
arXiv
Journal :
eLight 2022
Publication Type :
Report
Accession number :
edsarx.2205.00280
Document Type :
Working Paper
Full Text :
https://doi.org/10.1186/s43593-022-00019-x