Gaze intention recognition method and system based on historical visual behaviors

A visual behavior and recognition method technology, applied in the field of intent recognition, can solve the problem of not considering the impact, etc., to achieve the effect of improving accuracy, high classification accuracy, and improving accuracy
CN112861828AActive Publication Date: 2021-05-28SHANDONG UNIV
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Patent Information

Authority / Receiving Office
CN ยท China
Current Assignee / Owner
SHANDONG UNIV
Publication Date
2021-05-28

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Abstract

The invention provides a gaze intention recognition method and system based on historical visual behaviors. The method comprises the following steps: firstly, extracting eye movement characteristics of a user for each object based on historical visual behaviors, including fixation duration, fixation frequency, fixation interval and fixation speed; then inputting eye movement features of the user to each object to an SVM classifier, judging whether the user intentionally watches the object, and if so, adding the object into an intentionally historical watched object sequence; and finally, inputting a historical staring object sequence with intentions to a naive Bayes classifier, and determining the intentions of the user. Compared with a method based on a single object, the gaze intention recognition method based on the historical visual behaviors has the advantage that the intention recognition accuracy is remarkably improved.
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Description

technical field

[0001] The invention belongs to the field of intent recognition, and in particular relates to a gaze intent recognition method and system based on historical visual behavior. Background technique

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] With the development of population aging, the demand for daily life assistance for the elderly has increased significantly. Assistive robots have been increasingly accepted by society to care for the elderly and disabled. Assistive robots can recognize people's daily needs, and perform auxiliary actions by perceiving and processing demand information. The advent of assistive robots offers the potential to improve the quality of life and personal independence of older adults. In order to increase the acceptance of assistive robots by the elderly, robots need to be able to communicate naturally and smoot...

Claims

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