Intelligent wheelchair control method based on brain-computer interface and artificial intelligence

Abstract

The invention relates to an intelligent wheelchair control method based on a brain-computer interface and artificial intelligence. The control method is characterized in that a measuring electrode is placed on a user's scalp and the user's brain electrical signals are accessed by means of wireless or wired. The user's motion control information is acquired by means of brain-computer interface. The environment map is generated according to LIDAR and obstacle information is acquired by means of ultrasonic distance measurement or camera. Obstacles are avoided and motion path planning is generated. The movement of wheelchair is controlled and machine learning method is used to achieve feedback of self-adapting and self-learning during movement control. The intelligent wheelchair control method has the advantages of achieving safe and effective control function of the wheelchair for the user and achieving control output of self-learning and self-adapting based on the user's control habit without installation of camera or other sensors in the operation environment. By cameras and sensors on the wheelchair, the coordination control of artificial intelligence is completed, and thus the application scope of brain-controlled intelligent wheelchair is expanded.

Description

technical field [0001] The invention belongs to the field of brain-computer interface technology and artificial intelligence technology, in particular to an intelligent wheelchair control method based on brain-computer interface and artificial intelligence. Background technique [0002] At present, the total number of disabled people in my country is about 85 million, and it will reach 90 million by 2020, of which 27% are physically disabled. The rate of assistive devices for patients with physical disabilities is not optimistic. In rich areas, the rate of assistive devices is about 20%, and in poor areas it is even lower than 5%. Therefore, assistive devices such as wheelchairs not only have huge market potential, but also have outstanding social application value. However, in reality, there are a considerable number of patients with physical disabilities and strokes who cannot control traditional manual / electric wheelchairs, causing difficulties in life and prognosis. T...

AI Technical Summary

Problems solved by technology

However, in reality, there are a considerable number of patients with physical disabilities and strokes who cannot control traditional manual / electric wheelchairs, causing difficulties in life and prognosis rehabilitation

The main reasons for this difficulty are: 1. The patient cannot control the control handle of the wheelchair to issue commands; 2. The patient is considered unable to safely control the movement of the wheelchair

[0003] For problem 1, the current increasingly mature brain-computer interface technology has achieved high-speed and reliable means of human-computer interaction, but only relying on pure brain-computer interface technology, there are still the following problems: (1) The brain-computer interface requires the user to be highly skilled. It is difficult to concentrate and use it continuously for a long time; (2) Although the transmission rate of the brain-computer interface is already high, it is still difficult to achieve a fast and reliable response when there is an emergency such as an obstacle, and it is difficult to replace the shortcut of the joystick. operate

Therefore, relying solely on brain-computer interface technology, it is difficult to solve the security problem in problem 2

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