Wireless-transmission-based detection system and method for fatigue state of learner

Abstract

The invention discloses a wireless-transmission-based detection system and method for a fatigue state of a learner. A wireless optical mouse device is manufacturing into a spectacle additional device and then the device is installed at a spectacle frame to obtain a relative moving direction, a moving distance, and a moving speed value of a palpebra superior, and then the infroamtion is transmitted to an external terminal device having a wireless communication function by a wireless communication module; the external terminal device processes a movement track to obtain eyelid blink data, and then the external terminal device transmits the eyelid blink data to a remote monitoring server by network transmission; and the remote monitoring server processes and analyzes the eyelid blink data to determine a learning state of a learner. According to the invention, real-time collection, transmission, and processing of eyelid blink information of a learner are carried out and thus whether the learner is in a fatigue learning state is determined, so that corresponding measures are taken.

Description

technical field [0001] The invention relates to a detection system and method, in particular to a wireless transmission-based learner fatigue state detection system and method. Background technique [0002] At present, the prior art learner-centered fatigue learning instruments are mainly divided into the following two types: a camera (or other instruments) is used to collect the learner's facial image information (mainly eyes), and then the eye blinking is obtained through computer processing. The number of times of movement can be used to judge the fatigue status of learners. This kind of detection instrument has the following deficiencies in detection means and data processing: [0003] 1. The problem of human head positioning: Generally, more than two cameras and a high-performance computer are required (one is controlled by the computer to track the head positioning, and the other captures the image of the face) to complete the collection of facial image information ,...

AI Technical Summary

Problems solved by technology

[0003] 1. The problem of human head positioning: Generally, more than two cameras and a high-performance computer are required (one is controlled by the computer to track the head positioning, and the other captures the image of the face) to complete the collection of facial image information , which makes the operation complicated and difficult for learners to complete, and it is difficult to obtain the information of eye blinking in real time

[0005] Front-end processing, that is, processing information into digital signals on the client side, which is convenient for transmission, but the facial image has a large amount of information and the processing speed is relatively slow, so it is difficult to complete in real time

[0006] Back-end processing, that is, the information is transmitted from the client to the remote data processing terminal through the network. Although this method can avoid the information processing of the client, it requires a high bandwidth of the network

Images