Combined brain control and autopilot wheelchair with detection device and control method thereof

Abstract

The invention discloses a combined brain control and autopilot wheelchair with a detection device and a control method thereof. a combined brain control and autopilot electric wheelchair and an autonomous detection robot device are involved and are in communication connection with each other, wherein an autonomous detection robot is driven in the front of a path which the wheelchair herein is about to travel to, so that information of a road ahead of the wheelchair can be acquired in advance, information of key nodes of a map, such as crossings, can be recognized and fed back in advance, the information of the road can be disclosed to a wheelchair driver in advance, and wheelchair trafficability can be improved. Therefore, the wheelchair driver can select paths in advance through electroencephalography; a driving task can be continuously performed; the stay of the wheelchair at the key nodes, such as crossings, where traffic is complex, is avoided, and autopilot safety of the wheelchair can be improved.

Description

technical field [0001] The invention relates to the fields of cognitive neuroscience, information technology and automatic control, in particular to a wheelchair with a detection device and a fusion of brain control and automatic driving and a control method. Background technique [0002] Currently, for patients with limb movement disorders, being able to exercise outdoors has become a dream of these patients. Among the existing disabled vehicles, mainly wheelchairs (scooters) are the main ones. Ordinary wheelchairs need external force to push the wheelchair to move, or the wheelchair user can turn the two wheels of the wheelchair to move; while the smart wheelchair is based on the electric wheelchair, and on the basis of the traditional electric wheelchair, various calculation control units are added. , sensor detection unit and other smart devices, through the calculation control unit, the change signal of the handle control voltage is transmitted to the motor, so as to r...

AI Technical Summary

Problems solved by technology

At the current level of technology for controlling wheelchairs with EEG signals, this method cannot accurately control the robot, so it cannot achieve the corresponding safety, and for patients with limb movement disorders, it is too tiring to control the wheelchair in real time through EEG signals for a long time

[0007] In addition, for the existing EEG-based control technology, the path selection has the following defects: the accuracy of a single selection is not 100%, so to ensure the accuracy of the selection command, multiple rounds of selection output are required, which takes tens of hours. second

[0010] Therefore, if a single wheelchair is used to perform a driving task in an environment with an unknown map, it is often impossible to identify key node (intersection, fork, etc.) information in advance

Images