A hybrid brain-computer interface driven rehabilitation assistance robot

Abstract

The invention discloses a rehabilitation auxiliary robot driven by a hybrid brain-computer interface. The robot comprises a data collection module, a PC processing module, a mechanical arm control module, a mechanical arm and a feedback module. The data collection module is used for collecting sight line movement information and motor imagery electroencephalogram signals and collecting depth imageinformation a user face and a target object, the PC processing module is used for obtaining the target object which the user wants to grab according to the motor imagery electroencephalogram signalsof the user and extracting position information according to the received image information, the mechanical arm control module is used for planning the movement path in which the mechanical arm conveys the target object to the user face according the position information of the user face and the target object, and producing mechanical arm control signals by synthesizing the sight line movement information of the user and the planned movement path so as to control movement of the mechanical arm, the mechanical arm is used for moving under the control of the mechanical arm control module, and the feedback module is installed on the mechanical arm and used for feeding back signals representing whether the target is successfully clamped. The rehabilitation auxiliary robot synthesizes characteristics of the brain-computer interface technology and the characteristics of the rehabilitation robot technology, and is more beneficial to paint rehabilitation training.

Description

technical field [0001] The invention relates to the field of robots, in particular to a rehabilitation assistant robot driven by a hybrid brain-computer interface. Background technique [0002] Traditional rehabilitation assisting robots use machines to drive limbs to do repetitive movements, stimulate the nervous system that controls limb movement and promote its reconstruction. Rehabilitation robots include two types of rehabilitation robots, upper limbs and lower limbs. Most of them need the assistance of others to help patients use them. , patients cannot take the initiative to participate in it, and the lack of an accurate feedback mechanism is not conducive to the active participation of patients and the accurate feedback of rehabilitation effects. Traditional rehabilitation robots are dedicated to the recovery of the user's limb nervous system, and cannot provide assistance to the user. For example, for many severely paralyzed patients, they can only complete some act...

AI Technical Summary

Problems solved by technology

The above-mentioned invention patent simply combines the brain-computer interface technology with the robot technology, generates control instructions for the robot by collecting and analyzing the characteristics of the EEG signal, and the robot completes some predefined actions according to the predefined instructions. The technology lacks a corresponding feedback mechanism, and the advantages of the combination of brain-computer interface and robotics have not been fully utilized

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