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.
In the field of laser circumferential detection and laser imaging, there is demand for a simple and small system. A new kind of small linear laser circumferential laser radar using a single detector is proposed. The effects of surface characteristics of two typical targets (a plane and a cylinder) on echo waves of a linear laser are investigated via modeling, theoretical analysis, and an experiment. The results show that the echo waveform is affected by the detection range, target surface condition, and target size. The rising edge, broadening, and arrival time of the echo are affected by the shape of the target. Furthermore, a simple imaging method is proposed in the last part of our study using this circumferential system based on the echo characteristic studied.
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