Research on automatic thrower control based on brain-computer interface

Hang Sun; Changsheng Li; He Zhang

doi:10.1117/12.2686557

10 August 2023 Research on automatic thrower control based on brain-computer interface

Hang Sun, Changsheng Li, He Zhang

Proceedings Volume 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023); 1275905 (2023) https://doi.org/10.1117/12.2686557
Event: 2023 3rd International Conference on Automation Control, Algorithm and Intelligent Bionics (ACAIB 2023), 2023, Xiamen, China

Abstract

In order to explore the feasibility of brain-computer interface in the weapon system application, an experience of automatic thrower model controlled by brain-computer interface is designed to compete the firing task. According to the lens of automatic thrower model fed back from the screen, the testee carries out the practical or imaginary actions, and then through the nonintrusive BCI equipment, load 6 kinds of EGG signal which are collected from the testee to the trained convolutional neural network. 9 kinds of signal controlling the actions of automatic thrower model would be output. Control the switching functions of automatic thrower model through setting to realize 9 actions including Forward, backward, left, right, turret left, right, muzzle up, down, and launch, so as to complete the firing task. The comprehensive accuracy rate of implementation is 78.83%. The result of this experience shows that the brain-computer interface has the feasibility in the military field, which is worthy of researchers to carry out deeper studies.

Citation Download Citation

Hang Sun, Changsheng Li, and He Zhang "Research on automatic thrower control based on brain-computer interface", Proc. SPIE 12759, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2023), 1275905 (10 August 2023); https://doi.org/10.1117/12.2686557

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