A human-computer interaction system

Abstract

This application provides a human-computer interaction system, including: a wearable device, including a wearable main body and a matching piece. The matching piece is made of conductive material and is used to be attached to the wearer's upper eyelid. The wearable main body is equipped with an electromagnetic sensor. The sensor is used to detect the blink signal of the wearer through the electromagnetic induction effect with the matching piece; the host computer is connected to the electromagnetic sensor for communication and is used to obtain the blink signal detected by the electromagnetic sensor in real time; when determining the blink signal at the current moment is When there is a valid blink signal, starting from the current moment, determine the number of effective blinks of the wearer within the preset time; determine and execute the operating instructions corresponding to the effective number of blinks based on the correspondence between the preset number of blinks and the operating instructions, including: Windows Desktop application selection operations, PPT control operations and typing operations. The system improves the stability, convenience and applicability of human-computer interaction based on blink signals.

Description

Technical field [0001] This application relates to the field of artificial intelligence technology, specifically, to a human-computer interaction system. Background technique [0002] In recent years, modern computer-based technology has developed rapidly, and human-computer interaction has also developed rapidly. Human-computer interaction mainly studies people, computers and related technologies that interact with each other. Among them, human-computer interaction methods based on bioelectric signals have made great progress, such as using blink signals for human-computer interaction. When using blink signals to interact, the blink signals need to be detected. [0003] In the existing technology, blink signal detection technologies include: electrooculogram technology, TENG (triboelectric nanogenerator) sensor eye movement technology, and vision-based voluntary blink detection technology. Among them, the amplitude of the blink signal measured by electrooculography techno...

AI Technical Summary

Problems solved by technology

Among them, the blink signal amplitude measured by electrooculogram technology is very weak, which cannot realize stable human-computer interaction; TENG sensor technology, based on the coupling of contact electrification and electrostatic induction, will cause discomfort in the corner of the user's eyes in practical application. And the blink signal will also be delayed

Vision-based voluntary eye blink detection technology includes active eye detection and passive eye detection. Active eye detection requires special lighting and is not very safe. Passive eye detection does not need to provide separate lighting, but the user needs to keep the head position unchanged. For users such as the elderly and children, it is not convenient to use and the applicability is not strong

[0004] It can be seen that the existing technology lacks a stable, convenient and highly applicable blink signal detection method, and thus also lacks a stable, convenient and highly applicable human-computer interaction control method

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