Method for controlling equipment based on brain signal, its control equipment and human-computer interaction system

Abstract

The invention discloses a method for controlling equipment based on brain signals, its control equipment, and a human-computer interaction system. By periodically acquiring brain electrical signals and brain oxygen signals within a preset period of time, the representative brain electrical signals and brain oxygen signals are respectively generated. EEG waveform curves and brain oxygen waveform curves whose values ​​change within a preset period; determine whether the EEG waveform curves and brain oxygen waveform curves meet the conditions for controlling the controlled device to perform preset operations; When the oxygen waveform curve meets the conditions, the controlled equipment is controlled to perform preset operations. Compared with the method of controlling equipment based only on EEG signals in the prior art, the above-mentioned equipment control method provided by the present invention simultaneously detects EEG signals and brain oxygen signals to generate EEG waveform curves and brain oxygen waveform curves, two kinds of data At the same time, it matches and judges the conditions for controlling the controlled equipment to perform preset operations, which can avoid misoperation caused by single data jumps and other situations, and improve the accuracy of the controlled equipment.

Description

technical field [0001] The invention relates to the technical field of human-computer interaction, in particular to a method for controlling equipment based on brain signals, its control equipment and a human-computer interaction system. Background technique [0002] Many nerve cells are active in the human brain, and the ionic current of the neurons will produce voltage changes. This weak bioelectrical change is the brain wave, also called Electroencephalogram (EEG). In recent years, with the maturity of brain wave acquisition and recognition technology, human-computer interaction settings based on brain wave control have become increasingly active as an emerging experience. The principle of human-computer interaction based on brain waves is to pre-establish the mapping relationship between brain wave data and the operation instructions of the controlled equipment, so that after the brain wave data is obtained, the operation instructions corresponding to the brain wave data...

AI Technical Summary

Problems solved by technology

[0003] However, since human brain waves change very quickly and are prone to jumps in the case of inattention, the operation instructions executed by the controlled device may be wrong or invalid operation instructions under such a premise

The above problems all affect the accuracy of human-computer interaction and reduce user experience

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