Head gesture recognition technology-based wheelchair control method

Abstract

The invention provides a head gesture recognition technology-based wheelchair control method, and belongs to the field of artificial intelligence technology. A wheelchair body is provided with an image acquisition device, a computation and control unit, a bracket and a motor. When the wheelchair is used, the image acquisition device acquires a head image of a wheelchair user in real time and transmits the head image to the computation and control unit. The computation unit processes, analyzes and computes the image to acquire human face and nose position information and judges the head gesture of the user according to the human face and nose position information. According to the acquired head gesture, the computation and control unit generates a corresponding control command. Finally, the motor drives the wheelchair to move according to the acquired control command. Based on a non-contact image sensing and detecting method, the distribution condition of the human face gesture and the nose position in the image is comprehensively considered, so the head gesture judgment is more accurate, the control of the wheelchair is facilitated, and the method has the advantages of friendly man-machine interaction, convenient use for seriously disabled persons, and low additional cost.

Description

technical field [0001] The invention relates to a wheelchair control method based on head gesture recognition technology, which belongs to the technical field of artificial intelligence. Background technique [0002] In order to improve the self-care ability of the disabled and promote the development of social civilization, the technology of electric wheelchairs has developed rapidly in the past 20 years. However, in these electric wheelchairs, users still mainly rely on joysticks or buttons to manually control the motion of the wheelchair, and for some severely disabled persons such as quadriplegics, such wheelchairs cannot meet the requirements. [0003] In recent years, with the continuous improvement of the cost performance of computers, and the rapid development of image processing, pattern recognition, artificial intelligence and other related fields, it has become possible to develop an intelligent system that allows users to control the movement of wheelchairs throu...

AI Technical Summary

Problems solved by technology

Early studies were generally based on statistical face recognition technology, which is susceptible to light interference and works better when used to distinguish left and right faces, but when used to distinguish upper and lower faces less effective

Judging the posture based solely on the face will cause errors, and if this technology is used to control the wheelchair, it will cause serious consequences

Images