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Autonomic learning intelligent adjustment headgear

An intelligent adjustment and self-learning technology, which is applied in medical science, devices that cause changes in perceptual state, sensors, etc., can solve learning problems such as difficult to think calmly, affect learning efficiency, and lack of concentration, and achieve convenient charging and data storage. The effects of transmission, enhanced comfort, and convenient charging

Pending Publication Date: 2019-03-29
ZHEJIANG NORMAL UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the learning process, the learner is likely to affect the learning efficiency due to the learning state. For example, when the learner is exhausted, the learner is prone to physical and mental exhaustion, and the learning efficiency is low due to inattention. Easily restless and difficult to think calmly when encountering learning difficulties, both of which affect learning efficiency

Method used

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  • Autonomic learning intelligent adjustment headgear
  • Autonomic learning intelligent adjustment headgear
  • Autonomic learning intelligent adjustment headgear

Examples

Experimental program
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Embodiment Construction

[0028] Examples, see Figure 1 to Figure 5 As shown, a self-learning intelligent adjustment headgear of the present invention includes a headgear body 100 and a near-infrared acquisition module 200 installed on the headgear body 100, a control circuit 300, a bone conduction earphone module 400, and a power supply 500. The near-infrared The acquisition module 200 includes several infrared sensors 210 . The plurality of infrared sensors 210 are distributed inside the headgear body 100 to collect the concentrations of oxyhemoglobin and deoxyhemoglobin in the human prefrontal cerebral cortex. The control circuit 300 includes a signal processing module 310 and a noise generating module 320. The near The infrared acquisition module 200 is connected to the signal processing module 310, and the near-infrared acquisition module 200 transmits the collected signal to the signal processing module 310 for data analysis, and according to the analysis result, the noise generation module 320 ...

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PUM

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Abstract

The invention discloses an autonomic learning intelligent adjustment headgear including: a headgear body, and a near-infrared collection module, a control circuit, a bone conduction earphone module and a power supply, which are installed on the headgear body. The near-infrared collection module includes a plurality of infrared sensors, which are uniformly distributed on the inner side of the headgear body in order to collect the concentrations of oxyhemoglobin and deoxyhemoglobin in cerebral cortex at prefrontal lobe of human body. The control circuit is connected to the near-infrared collection module for receiving the concentrations of the oxyhemoglobin and deoxyhemoglobin, is connected with the bone conduction earphone module, and controls the bone conduction earphone module to make different sounds according to the concentrations of the oxyhemoglobin and deoxyhemoglobin. The bone conduction earphone module is installed on the lower end of the headgear body to contact with the headof a user and send sounds. The power supply is used for supplying power. The autonomic learning intelligent adjustment headgear can control the bone conduction earphone module to make different soundsin order to alleviate fatigue or over-excitation of brain, thus regulating learning state.

Description

technical field [0001] The invention relates to an autonomous learning intelligent adjustment headgear, in particular to an autonomous learning method for controlling the bone conduction earphone module to emit different sounds according to the concentration signals of oxyhemoglobin and deoxygenated hemoglobin in the human prefrontal cerebral cortex to relieve human brain fatigue or excitement. Learn to adjust the headgear smartly. Background technique [0002] In the learning process, the learner is likely to affect the learning efficiency due to the learning state. For example, when the learner is exhausted, the learner is prone to physical and mental exhaustion, and the learning efficiency is low due to inattention. It is easy to be restless, and it is difficult to think calmly when encountering learning difficulties. Both of these situations will affect learning efficiency. [0003] Studies have shown that sound signals of different frequencies stimulate the human brain...

Claims

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Application Information

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IPC IPC(8): A61M21/00A61B5/1455
CPCA61M21/00A61B5/1455A61M2021/0027
Inventor 黄立新詹梦颖肖健文
Owner ZHEJIANG NORMAL UNIVERSITY
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