A Bionic Hand Control System Based on EEG Signals

Abstract

The invention discloses a bionic hand control system based on electroencephalogram (EEG) signals. Eye closing durations of different lengths are used as different control signals. The system specifically comprises an EEG signal acquisition module, an EEG signal processing module, a central processing unit, a man-machine operation module, a physical model building module, a transfer node module, and an acoustic control revision module. According to the invention, by taking eye closing durations of different lengths as different control signals, the system is easy to use; and meanwhile, animation simulation is performed on each command before each command is executed, so the system is safer in use and more precise in control.

Description

technical field [0001] The invention relates to the field of electronic control, in particular to a bionic hand control system based on electroencephalogram signals. Background technique [0002] The concept of brain-computer interface began in 1973. It is a direct connection path established between the human or animal brain and external devices. Since the 1970s, with the development of neuroscience and computer technology, brain-computer interface has made great progress. At present, according to the different ways of obtaining brain signals, brain-computer interfaces can be divided into invasive and non-invasive. Implanting electrodes directly into the brain case is called invasive BCI; obtaining signals from the scalp is called non-invasive BCI. EEG is a macroscopic phenomenon produced by the discharge of brain cell groups. When the brain is active, specific EEG signals will be generated. For invasive brain-computer interfaces, because electrodes are placed in the brai...

AI Technical Summary

Problems solved by technology

This control method is simple and easy to implement, but it cannot make the five-finger bionic manipulator perform corresponding actions with reference to real human gestures

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