A brain-controlled virtual human obstacle avoidance control method

Abstract

The invention discloses a brain-controlled virtual human obstacle avoidance control method, which includes offline training steps: system initialization; starting an interactive interface; the user watches the corresponding flashing button according to the prompt, and collects the user's EEG signal through an electrode cap; processing The collected EEG signal; determine the threshold of the difference between the maximum and the second largest normalized regression score and the maximum number of button flashing rounds, the minimum number of button flashing rounds as the setting of the adaptive Bayesian classifier in the online training phase Parameters; online control steps: re-initialize relevant parameters, start the interactive interface; the user decides to stare at the flashing button, and at the same time the electrode cap collects EEG signals; processes the collected EEG signals; generates control commands according to the output classification results, and controls virtual human movement. The method of the invention can control the virtual person to perform corresponding movements in the virtual scene to avoid obstacles, improve the training effect on brain control, and allow users to obtain better experience.

Description

technical field [0001] The invention relates to the fields of brain-computer interface and virtual reality, in particular to a brain-controlled virtual human obstacle avoidance control method. Background technique [0002] Patients suffering from motor dysfunction cannot communicate well with the outside world. Brain-computer interface (BCI) technology allows these patients to directly control the brain-computer interface device through brain signals to achieve communication with the outside world and Operations on external objects. The essence of brain-computer interface technology is to establish an external channel between the human brain and the computer. This channel can realize external information exchange and control without the participation of nerve or muscle tissue. [0003] In the last century, people's research on brain-computer interfaces mainly revolved around controlling external devices to replace some missing functions of patients, such as controlling pros...

AI Technical Summary

Problems solved by technology

Since users are trained and tested in simulated realistic scenarios instead of mechanical brain-computer interface devices, this greatly reduces the safety risk and cost of experiments, but can achieve the same effect

[0005] At this stage, the technology combining brain-computer interface and virtual reality has made some progress, and there are a small number of brain-controlled virtual scene roaming and brain-controlled virtual games based on motor imagination or P300; obstacle avoidance system

And the virtual environment of the previous research system is relatively monotonous, and the virtual environment is simply observed by moving the camera. The controlled virtual person can only perform mechanical specific movements on a certain part of the body, which is dull and has poor interactivity.

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