Brain wave detection-based learning method, auxiliary tool and control system

A technology of auxiliary tools and learning methods, applied in medical science, psychological devices, diagnostic recording/measurement, etc., can solve problems that few people have studied

Inactive Publication Date: 2021-06-04
王景华
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

Based on brain wave information, there are few researches on active interve

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  • Brain wave detection-based learning method, auxiliary tool and control system
  • Brain wave detection-based learning method, auxiliary tool and control system
  • Brain wave detection-based learning method, auxiliary tool and control system

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Embodiment Construction

[0026] The technical solutions in the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be noted that the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] Such as figure 1 As shown, the embodiment of the present invention provides a learning method based on brain wave detection, which is characterized in that:

[0028] D01, the auxiliary tool acquires the user’s brain wave signal detected by the brain wave detection instrument; D02, the auxiliary tool identifies the acquired brain wave signal; D03, the auxiliary tool is based on the brain wave signal The recognition result of the radio signal automatically selects and plays the corresp...

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Abstract

The invention discloses a brain wave detection-based learning method, an auxiliary tool and a control system. The learning method comprises the following steps of: Step 1, acquiring a brain wave signal of a user detected by a brain wave detection instrument by the auxiliary tool; Step 2, identifying the acquired brain wave signal by the auxiliary tool; and Step 3, automatically selecting and playing corresponding pre-stored audio and video learning resources by the auxiliary tool based on the identification results of the brain wave signal, so that the user can quickly enter an efficient learning state or keep in the efficient learning state.

Description

technical field [0001] The invention relates to the field of learning methods and auxiliary learning tools, in particular to a learning method based on brain wave detection, auxiliary tools and a control system. Background technique [0002] With the continuous deepening of human brain science research, the research and application of brain waves have attracted more and more attention. Scientific research has found that the human brain emits brain waves of different frequencies in different states of consciousness. Among them, it is known that there are four most common brain waves in the human body, which are delta waves, theta waves, alpha waves, and beta waves. [0003] The frequency range of delta wave is 0.5-3HZ, which is the brain wave in deep sleep state. When the human brain frequency is in the delta wave, the human body is in a deep sleep, unconscious state. [0004] The frequency range of theta wave is 4-8HZ, which is the brain wave in the subconscious state of d...

Claims

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Application Information

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IPC IPC(8): A61B5/369A61B5/347A61B5/16A61M21/00
CPCA61B5/168A61M21/00A61M2021/0027A61M2021/005
Inventor 王景华李献会
Owner 王景华
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