Learning attention detection and pre-judgment device in variable light environment

Abstract

The invention discloses a learning attention detection and pre-judgment device in a variable light environment, which comprises a light color sensing unit, an image acquisition unit, a heart rate acquisition unit and a control unit, and is characterized in that based on the input of each sensing and acquisition unit, the control unit takes six parameters including working surface illuminance, color temperature, xyz color coordinate values of colors and continuous learning time as input quantities; taking attention factors of parameters such as the eye opening degree, the sight concentration degree, the heart rate and the sight movement rate of the learner as output quantities, establishing an artificial neural network, and modeling a mapping relationship between the illumination conditionof the environment and the attention of the person; and the trained neural network being used for carrying out multi-factor prediction on the attention of the learner under the on-site illumination condition in the changed light environment, so that light environment evaluation prompt is carried out on the learner, and a basis is provided for recommendation of a potential high-attention light environment.

Description

[0001] This application is a divisional application with application number 201910263070.9, application date April 02, 2019, and invention name "learning attention detection and prediction device and method under variable light environment". technical field [0002] The invention relates to the field of intelligent lighting and learning assistance, in particular to a learning attention detection and prediction device in a variable light environment. Background technique [0003] People obtain information from the outside world through vision and respond quickly. The efficiency of work and study is directly subject to the lighting conditions of the environment, and the maintenance of basic visual functions also depends on lighting. [0004] There are many environmental lighting factors that affect vision, among which the more important ones are: illuminance level, brightness distribution, color appearance, light, shadow, light color, etc., and these factors have different degr...

AI Technical Summary

Problems solved by technology

Many previous studies have obtained inconsistent or even contradictory results, partly because some of the evaluation indicators are subjective evaluations such as subjective questionnaires, and there are differences in experience among individuals

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