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

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...

AI Technical Summary

Problems solved by technology

Based on brain wave information, there are few researches on active intervention learning methods and auxiliary learning tools using modern technology

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