Multi-target object motion control method and device, terminal equipment and medium

Abstract

The invention discloses a multi-target object motion control method and device, terminal equipment and a computer readable storage medium, and the method comprises the steps: obtaining a plurality of evoked potentials based on any one evoked pattern in each visual stimulation interface, obtaining a corresponding target digit based on the plurality of evoked potentials; constructing a corresponding multi-dimensional coordinate based on a plurality of target digits, and obtaining a motion control instruction according to the multi-dimensional coordinate; and performing motion control on any target object in the target end through the motion control instruction. According to the invention, the efficiency of controlling multiple target objects based on the evoked potential can be improved.

Description

technical field [0001] The present invention relates to the field of automatic control, in particular to a multi-object motion control method, device, terminal equipment and computer-readable storage medium. Background technique [0002] Brain-Computer Interface (BCI) is used to realize the information interaction between human brain or animal brain and computer or other electronic devices. In recent years, the rapid development of brain-computer interface technology has important research significance and application potential in the fields of biomedicine, rehabilitation therapy and artificial intelligence. There are frequent spontaneous electrical activities in the cortical cells of the human or animal brain, and the potential information recorded by the brain electrodes reflects the electrical activity of the brain tissue and the functional state of the brain. At present, the commonly used visually evoked brain nerve signal (SSVEP) in the research of brain-computer inter...

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Problems solved by technology

[0003] At present, static SSVEP visual stimuli are basically based on four-target or nine-target stimuli, and the control instructions are simple, and multi-target stimuli lead to visual fatigue of the user, which in turn reduces the reliability of the evoked signal.

In addition, the control methods based on hybrid brain-computer interfaces such as vision, hearing or motor imagination are more complicated, and there are many problems in the required signal acquisition equipment channels, large volume, and inability to be light and convenient to use.

[0004] To sum up, the control method based on static SSVEP in the prior art has the problems of low control accuracy and complicated operation, which leads to low control efficiency

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