Robot system based on brain-computer interface and implementation method

Abstract

The invention relates to a robot system based on a brain-computer interface and an implementation method. The robot system is mainly characterized in that a brain-computer interface sub-system obtains a brain electrical signal through a measurement electrode and performs feature extraction of the brain electrical signal to obtain the intention of a user; the brain-computer interface sub-system converts the intention of the user into a control command and transmits the control command to a robot sub-system through a communication sub-system; the robot sub-system receives the control command of the brain-computer interface sub-system and controls a robot to move; the robot sub-system transmits video information acquired by self to the brain-computer interface sub-system; and the brain-computer interface sub-system forms a stimulation interface fed back to the user. According to the invention, mobility control of the robot in eight directions through the steady-state visual evoked potential brain-computer interface can be realized; furthermore, the system can control the robot rapidly and precisely without being trained; because the brain-computer interface is free from body movement participation, the user suffering from severe dyskinesia can move to an expected position; and thus, the living quality is increased.

Description

technical field [0001] The invention belongs to the technical field of mobile robots, in particular to a brain-computer interface-based robot system and an implementation method. Background technique [0002] In recent years, robots are not only widely used in industry, but also gradually enter people's lives. The demand for assistive robots is on the rise as they can support the daily life of people with disabilities. Healthy users can usually control the robot through conventional inputs (such as: mouse, keyboard, joystick, etc.), however, it is quite difficult for the elderly or patients with severe motor disabilities to use conventional inputs. At present, many studies try to introduce new human-computer interaction technology to benefit the elderly or patients with severe movement disorders. Among them, a novel interaction technology (brain-computer interface) based on the neural response of human to external stimuli or imagination and can be applied to the interactio...

AI Technical Summary

Problems solved by technology

Chinese patent document "Robot Control Method Based on Steady-state Vision-Induced Brain-Computer Interface" (201410103602.X) adopts the threshold judgment method to classify the extracted features, which is simpler in system compared with the brain-computer interface based on α wave / imaginative movement , less training and high information transmission rate, however, this method largely depends on the selection of the threshold and the signal-to-noise ratio of the EEG signal

Images