Brain-computer interface intelligent equipment control system and method

Abstract

The invention relates to a brain-computer interface intelligent equipment control system and method. A camera installed on an augmented reality device in the system can collect an environment image in real time and transmit the image to a scene understanding module, and the scene understanding module can understand scene information by adopting a deep learning technology and transmit the understanding information to an augmented reality display device. A built-in eye tracker of the reality display equipment can acquire the gaze watching position of a user in real time, the eye tracker is combined with an SSVEP normal form to operate a target in a scene, then a control or information acquisition instruction is sent to the operation target, and feedback is carried out on the augmented reality equipment, so that the user experience is improved. The enhancement of cognition, vision, perception and other capabilities can be brought by the combination of the brain-computer interface and the augmented reality technology, and the solution that the paralyzed patient visually and efficiently controls the external equipment is realized.

Description

technical field [0001] The present invention relates to the technical field of brain-computer interface, in particular to a brain-computer interface intelligent device control system and method. Background technique [0002] Brain Computer Interface (BCI) is a technology that establishes a direct connection between the human or animal brain and external devices. As one of the most vital research directions in neuroengineering today, it also has important research significance and huge application potential in the fields of rehabilitation medicine and intelligent robots. Especially in the past ten years, brain-computer interface technology has made great progress with the development of materials and biological sciences, and gradually opened up a wide range of application scenarios. For example, in the field of medical treatment and rehabilitation, it is of great help to patients with damaged nervous systems; in the military field, it can be used for EEG information fusion a...

AI Technical Summary

Problems solved by technology

However, when it is used, the speed of identifying the results of the signal is relatively slow, and the user experience is not good

[0005] The eye tracker has also been able to provide the ability to control external devices like a paralyzed patient to a certain extent. Its high recognition speed can be of great help to help disabled patients control peripheral devices, but its poor recognition accuracy and its needs The feature of frequent calibration will greatly reduce the user experience, so its ease of use has been questioned

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