Office scene human-computer interaction behavior recognition method based on electro-oculography signal

Abstract

The invention discloses an office scene human-computer interaction behavior recognition method based on an electro-oculography signal. The method comprises the following steps that firstly the electro-oculography signals under different behavior states are acquired and the acquired electro-oculography signals are preprocessed; then the start point and the end point of the effective behavior stateof the filtered electro-oculography signals are recognized through endpoint detection; the effective electro-oculography signals are obtained and then feature extraction is performed on the signals through wavelet transform, and dimension reduction is performed on the extracted feature parameters by using a linear discriminant analysis method; then the features after dimension reduction are classified by using a support vector machine so as to recognize the correct behavior; and finally the recognized result is used for controlling the application software on the mobile phone. The method has high recognition correct rate, great robustness and high application potential and can better use the eye movement information to control the external equipment and rich the diversity of the eye movement control categories so as to have the advantages of high extensibility, high recognition correct rate and great prospect.

Description

technical field [0001] The present invention relates to the field of bioelectric signal application technology, in particular to a method for recognizing human-computer interaction behaviors in office scenes based on oculoelectric signals. Background technique [0002] With the rapid development of modern science and technology, human-computer interaction technology has gradually become a current research hotspot. Human-computer interaction is a bridge between humans and computers, making the relationship between humans and machines more natural and harmonious. In daily life, the function of human-computer interaction is mainly accomplished through external devices that can input and output such as mouse, keyboard, and touch pad. However, for those patients or disabled people with physical disabilities, they cannot realize these mainstream interaction methods through normal physical operations, and thereby improve their quality of life. If we can design a system that does n...

AI Technical Summary

Problems solved by technology

At the present stage, the human-computer interaction system based on oculograph is mainly used to control external devices by simply scanning up, down, left, and right of the eyeball and blinking. There are relatively few types of such control methods, and the diversity of functions is greatly restricted limitations, so we hope to expand the control category to control external devices to meet people's daily needs

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