阅读说明：本技术 一种基于脑电波检测的学习方法、辅助工具及控制系统 (Learning method, auxiliary tool and control system based on brain wave detection ) 是由 王景华 李献会 于 2019-12-03 设计创作，主要内容包括：本发明公开了一种基于脑电波检测的学习方法、辅助工具及控制系统,学习方法包括：第一步,所述辅助工具获取由脑电波检测仪器检测到的用户的脑电波信号；第二步,由所述辅助工具对所述获取的脑电波信号进行识别；第三步,所述辅助工具基于对所述脑电波信号的识别结果,自动选择并播放对应的预存音视频学习资源,使用户快速进入高效的学习状态,或者保持处于高效的学习状态。(The invention discloses a learning method, an auxiliary tool and a control system based on brain wave detection, wherein the learning method comprises the following steps: a first step of acquiring a brain wave signal of a user detected by a brain wave detecting instrument by the aid of the aid; secondly, identifying the acquired brain wave signals by the aid of the auxiliary tool; and thirdly, the auxiliary tool automatically selects and plays corresponding pre-stored audio and video learning resources based on the recognition result of the brain wave signal, so that the user can quickly enter an efficient learning state or keep in the efficient learning state.)

1. A learning method based on brain wave detection is characterized in that: a first step of acquiring a brain wave signal of a user detected by a brain wave detecting instrument by the aid of the aid; secondly, identifying the acquired brain wave signals by the aid of the auxiliary tool; and thirdly, the auxiliary tool automatically selects and plays corresponding pre-stored audio and video learning resources based on the recognition result of the brain wave signal, so that the user can quickly enter an efficient learning state or keep in the efficient learning state.

2. The learning method based on brain wave detection according to claim 1, wherein the assisting tool identifies the acquired brain wave signals, and specifically comprises:

the assistant tool extracts the frequency characteristics of the acquired brain wave signals and definitely judges which one of four wave bands, namely delta wave, theta wave, alpha wave and beta wave, the acquired brain wave signal frequency belongs to.

3. The learning method based on brain wave detection according to claim 1, wherein the assistant tool automatically selects and plays the corresponding pre-stored audio/video learning resource based on the recognition result of the brain wave signal, characterized in that:

when learning resources are prestored in the auxiliary tool, a user can classify and store the resources with different contents according to needs and by combining with the brain waves of four different wave bands, and set different playing requirements, and the auxiliary tool automatically selects and plays the resources according to the recognition result of the brain wave signals and the corresponding resource types and playing requirements.

4. A learning aid based on brain wave detection is characterized by comprising a memory, a processor and a player; the memory can store audio and video data with different formats; the processor is embedded with a computer control program to implement the brain wave detection-based learning method of claims 1 to 3.

5. A learning control system based on brain wave detection is characterized by comprising a brain wave detection instrument and a learning auxiliary tool based on brain wave detection, and the learning control system and the brain of a person form a closed-loop learning control system based on brain wave detection; the brain wave detection instrument transmits the detected brain wave signals to the learning auxiliary tool in a wired or wireless mode, the learning auxiliary tool processes the acquired brain wave signals and releases corresponding audio and video resources to the user according to the learning method based on the brain wave detection, so that the user can quickly enter an efficient learning state or can be kept in the efficient learning state.

Technical Field

The invention relates to the field of learning methods and auxiliary learning tools, in particular to a learning method, an auxiliary tool and a control system based on brain wave detection.

Background

With the continuous and deep research on brain science, the research and application of brain waves are receiving more and more attention. Scientific research shows that the human brain emits brain waves with different frequencies under different consciousness states, wherein the most common brain waves of the human body are known as four types, namely delta waves, theta waves, alpha waves and beta waves.

The frequency range of the delta wave is 0.5-3HZ, and the delta wave is brain wave in a deep sleep state. When the brain frequency of a human body is in delta waves, the human body is in a deep sleep and unconscious state.

The frequency range of the theta wave is 4-8HZ, and the theta wave is brain wave in a deep relaxation and stress-free subconscious state. When the brain frequency of a person is in theta waves, the consciousness of the person is interrupted, the body is deeply relaxed, and the highly implied state, namely the hypnotic state, is presented to the external information. The theta wave is greatly helpful for triggering deep memory, strengthening long-term memory and the like, so the theta wave is called as a gate leading to memory and learning.

The frequency range of alpha wave is 8-13HZ, and the brain wave is under the state of most clear consciousness and most concentrated physical and mental relaxation. When the human brain frequency is in alpha waves, the human is conscious, but the body is relaxed, which provides a "bridge" of consciousness and subconsciousness. In this state, the body and mind energy consumption is minimum, the relative brain obtains higher energy, the brain activity is faster, smoother and more acute, and the alpha wave is considered as the best brain wave frequency band for people to learn and think.

The frequency range of the beta wave is 14HZ or more, and the brain wave is an electroencephalogram in a state of tension, stress, or brain fatigue, and learning in such a state is obviously not satisfactory in learning effect.

Most people living in modern cities are in a fast-paced and high-stress living state, particularly young people are in a fierce competitive environment for a long time, and the pressure of work and study is great. More and more people are utilizing fragmented time to learn charging, but the fragmented learning is generally inefficient, and is usually more energy-intensive, so that the learning effect is far less than the expectation of people.

If a learning method or an auxiliary learning tool is available, people can be helped to efficiently improve the learning effect of fragmentation time, and the learning method or the auxiliary learning tool is sleepy for many people. Currently, few people research methods and auxiliary learning tools for active intervention learning by using modern science and technology based on brain wave information.

Disclosure of Invention

The invention aims to overcome the defects of the prior art and provide a learning method, an auxiliary tool and a control system based on brain wave detection, which can capture the optimal learning state according to the change of brain waves of a user, accurately release learning resources to the brain, help the user to efficiently acquire knowledge and improve the learning efficiency.

The embodiment of the invention provides a learning method based on brain wave detection, which is characterized by comprising the following steps:

a first step of acquiring a brain wave signal of a user detected by a brain wave detecting instrument by the aid of the aid;

secondly, identifying the acquired brain wave signals by the aid of the auxiliary tool;

and thirdly, the auxiliary tool automatically selects and plays corresponding pre-stored audio and video learning resources based on the recognition result of the brain wave signal, so that the user can quickly enter an efficient learning state or keep in the efficient learning state.

The assistant tool identifies the acquired brain wave signals, and specifically comprises:

the assistant tool extracts the frequency characteristics of the acquired brain wave signals and definitely judges which one of four wave bands, namely delta wave, theta wave, alpha wave and beta wave, the acquired brain wave signal frequency belongs to.

The assistant tool automatically selects and plays corresponding pre-stored audio and video learning resources based on the recognition result of the brain wave signal, and is characterized in that:

when learning resources are prestored in the auxiliary tool, a user can classify and store the resources with different contents according to needs and by combining with the brain waves of four different wave bands, and set different playing requirements, and the auxiliary tool automatically selects and plays the resources according to the recognition result of the brain wave signals and the corresponding resource types and playing requirements.

The embodiment of the invention also provides a learning auxiliary tool based on brain wave detection, which comprises a memory, a processor and a player; the memory can store audio and video data with different formats; the processor is internally provided with a computer control program to realize the learning method based on brain wave detection.

Preferably, the learning aid based on brain wave detection and the brain wave detecting instrument are two sets of independent devices, information communication can be carried out between the two devices, and the learning aid based on brain wave detection acquires and processes brain wave signals detected by the brain wave detecting instrument; the brain wave detecting apparatus and the learning aid based on brain wave detection may be integrated into one body.

The learning auxiliary tool based on brain wave detection is characterized in that the learning auxiliary tool can be made into a product with different presentation modes, and preferably, the learning auxiliary tool is presented in the form of an independent electromechanical product with complete functions; the learning auxiliary tool based on brain wave detection can be provided with special software such as mobile phone APP, computer software and the like by means of the existing intelligent terminal equipment with storage and data processing functions such as mobile phones, computers, tablet computers, servers and the like, and has the functions of the learning auxiliary tool based on brain wave detection.

The embodiment of the invention also provides a learning control system based on brain wave detection, which comprises a brain wave detection instrument and a learning auxiliary tool based on brain wave detection, and forms a closed-loop learning control system based on brain wave detection together with the human brain. The brain wave detection instrument transmits the detected brain wave signals to the learning auxiliary tool in a wired or wireless mode, the learning auxiliary tool processes the acquired brain wave signals and releases corresponding audio and video resources to the user according to the learning method based on the brain wave detection, so that the user can quickly enter an efficient learning state or can be kept in the efficient learning state.

Drawings

In order to more clearly illustrate the technical solution of the present invention, the drawings needed to be used in the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

Fig. 1 is a flowchart illustrating a learning method based on electroencephalogram detection according to an embodiment of the present invention.

Fig. 2 is a schematic structural diagram of a learning aid based on electroencephalogram detection according to an embodiment of the present invention.

Fig. 3 is a schematic structural diagram of a learning control system based on electroencephalogram detection according to an embodiment of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be described in detail below with reference to the accompanying drawings, and it should be specifically noted that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

As shown in fig. 1, an embodiment of the present invention provides a learning method based on brain wave detection, which is characterized in that:

d01, the assistant tool acquiring the brain wave signal of the user detected by the brain wave detecting instrument; d02, recognizing the acquired brain wave signals by the aid; and D03, the assistant tool automatically selects and plays the corresponding pre-stored audio/video learning resources based on the recognition result of the brain wave signal, so that the user can quickly enter into an efficient learning state or keep in the efficient learning state.

D02, the identifying the acquired brain wave signals by the aid, specifically comprising:

the assistant tool extracts the frequency characteristics of the acquired brain wave signals and definitely judges which one of four wave bands, namely delta wave, theta wave, alpha wave and beta wave, the acquired brain wave signal frequency belongs to.

D03, the assistant tool automatically selects and plays the corresponding pre-stored audio/video learning resources based on the recognition result of the brain wave signal, and the assistant tool is characterized in that:

when learning resources are prestored in the auxiliary tool, a user can classify and store the resources with different contents according to needs and by combining with the brain waves of four different wave bands, and set different playing requirements, and the auxiliary tool automatically selects and plays the resources according to the recognition result of the brain wave signals and the corresponding resource types and playing requirements.

For example:

preferably, when the brain wave frequency is in the delta wave band, the brain is in a deep sleep state, which is not suitable for learning, all audio and video resources are stopped to be played, a quiet rest environment is created for the brain, and the brain is enabled to rest fully.

Preferably, when the brain wave frequency is in a theta wave band, the brain is in a subconscious state, and at the time, learning contents which are mainly used for strengthening memory and are applied as auxiliary are repeatedly released to the brain frequency, such as concept knowledge, historical knowledge, vocabulary knowledge and the like, so that the brain is helped to form deep memory in the subconscious state.

Preferably, when the brain wave frequency is in the alpha wave band, the brain is in the most awake and most active state, and at the moment, the brain learning method is suitable for releasing some important, key and important learning contents to the brain, releases learning resources to the brain with large capacity, keeps the brain running in an efficient state and improves learning efficiency.

Preferably, when the brain wave frequency is in the beta wave band, the brain is in a state of tension and fatigue, and at the moment, the brain is suitable for releasing some knowledge information with relatively small difficulty, non-key class and non-key class, or releasing some contents such as music for relieving fatigue and the like, so that the working state of the brain is adjusted, and the workload of the brain is relieved.

As shown in fig. 2, an embodiment of the present invention further provides a learning aid based on brain wave detection, which is characterized in that: the learning auxiliary tool based on brain wave detection comprises an F01 memory, an F02 processor and an F03 player; the F01 memory can store audio and video data with different formats; the F02 processor has a computer control program built in to implement the learning method based on brain wave detection as described above.

Preferably, the learning aid based on brain wave detection and the brain wave detecting instrument are two sets of independent devices, information communication can be carried out between the two devices, and the learning aid based on brain wave detection acquires and processes brain wave signals detected by the brain wave detecting instrument; the brain wave detecting apparatus and the learning aid based on brain wave detection may be integrated into one body.

The learning auxiliary tool based on brain wave detection is characterized in that the learning auxiliary tool can be made into a product with different presentation modes, and preferably, the learning auxiliary tool is presented in the form of an independent electromechanical product with complete functions; the learning auxiliary tool based on brain wave detection can be provided with special software such as mobile phone APP, computer software and the like by means of the existing intelligent terminal equipment with storage and data processing functions such as mobile phones, computers, tablet computers, servers and the like, and has the functions of the learning auxiliary tool based on brain wave detection.

As shown in fig. 3, the embodiment of the present invention further provides a learning control system based on brain wave detection, which includes a T01 brain wave detection instrument and a T02 learning aid based on brain wave detection, and which forms a closed-loop learning control system based on brain wave detection together with the human brain T03. The T01 brain wave detection instrument transmits the detected brain wave signals to the T02 learning auxiliary tool based on brain wave detection in a wired or wireless mode, the T02 learning auxiliary tool based on brain wave detection processes the acquired brain wave signals, and corresponding audio and video resources are released to a user according to the learning method based on brain wave detection, so that the user can quickly enter an efficient learning state or can be kept in the efficient learning state.

The above description is the preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, many modifications can be made by referring to the principle and idea of the present invention, and these modifications are also considered as the protection scope of the present invention.