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Abstract
This paper introduces the Brain–AI Closed-Loop System (BACLoS), a wireless platform for analyzing human brainwaves and using them to improve AI decision-making. A wireless earbud-like EEG device with tattoo-like electrodes measures error-related potentials (ErP), reflecting cognitive responses to unexpected AI actions. Deep learning classifies these ErP signals, enabling the AI to adjust its decisions. BACLoS is demonstrated with autonomous driving vehicles, maze solvers, and assistant interfaces.
Publisher
npj Flexible Electronics
Published On
May 30, 2022
Authors
Joo Hwan Shin, Junmo Kwon, Jong Uk Kim, Hyewon Ryu, Jehyung Ok, S Joon Kwon, Hyunjin Park, Tae-il Kim
Tags
Brain-AI Integration
EEG Technology
Cognitive Responses
Artificial Intelligence
Deep Learning
Error-Related Potentials
Wireless Systems
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