Man-machine interactive type two-dimensional locating method based on human eye-glanced signal

Abstract

The invention discloses a man-machine interactive type two-dimensional locating method based on a human eye-glanced signal, which comprises the following steps of: extracting and identifying a characteristic of electro-oculogram (EOG) data detected by repeated test to disclose a mapping law between the movement angle of an eyeball and the characteristic of the EOG statistical signal, building an EOG signal-based basic model for locating a two-dimensional plane target, and correcting the parameter of the basic locating model by considering the individual difference to be detected during the practical application to be capable of fast obtaining a practical locating model which is applicable to each object to be detected. The real-time on-line detection of a detection signal can be realized by an endpoint detection technology when the model is built, so that the method lays a foundation for realizing an on-line interactive type system. A coordinate converting relationship between an eye and a bionic mechanical arm can be fast built by a certain field calibration method. The interactive type two-dimensional precision position control between the eye and the bionic mechanical arm can be realized by the system.

Description

technical field [0001] The invention belongs to the interdisciplinary fields of biomedicine and informatics, and specifically relates to a human-computer interactive two-dimensional precise positioning method based on human eye saccade signals. Background technique [0002] Prosthetics can assist the disabled to complete more work, and play an important role in their normal life and better integration into society. In order to realize the natural control of intelligent prosthetics, it is not only necessary to obtain control tasks from human biological information, but also to The position feedback of the robotic arm during the control process; and the electrooculogram (EOG) is currently the only eye movement recording technology generated from bioelectricity, which can be used as an input command in human-computer interaction to provide precise positioning for the bionic robotic arm. [0003] The human eye is a bipolar sphere, the cornea has a positive potential relative to ...

AI Technical Summary

Problems solved by technology

[0004] 1. The existing EOG research mainly focuses on the horizontal direction. Due to the influence of eyelid movement artifacts and blinking, there are few studies on eye movement in the vertical direction. The shortcomings of low accuracy and poor robustness in noisy environments

[0005] 2. According to the characteristics of EOG signal and the individual differences of the subjects, it is difficult to establish a universally applicable correspondence between the eyeball rotation angle and the saccade potential difference in the EOG angle recognition experiment

[0006] 3. There are individual differences in EOG signals. It is difficult to accurately locate two-dimensionally based on EOG saccade signals. There is no similar research on the interactive positioning system of human eyes and bionic manipulators in China.

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