Mental state intervening and regulating system based on biologic feedback and working method thereof

Abstract

The invention provides a mental state intervening and regulating system based on biologic feedback. The system is characterized by comprising a projection module, an audio playing module, a biologicalsignal collecting module, a mental state evaluating module and a mental state intervening and regulating module for adjusting a scene source file and an audio source file according to the metal stateevaluation result obtained by the mental state evaluation module and feeding back the files to the projection module and the audio playing module. The system monitors and analyzes the mental state ofa testee when the testee is stimulated, the stimulation content and strength are regulated according to the mental state, and therefore the emotion of the testee is affected, the mental state is intervened and regulated, the system is easy and convenient to use, and the system has the good real-time performance and high efficiency. The invention further provides a working method of the mental state intervening and regulating system. The working method is easy and convenient to implement, and the good real-time performance of mental state regulation is achieved.

Description

technical field [0001] The invention relates to the technical field of mental state intervention and regulation, and more specifically, to a biofeedback-based mental state intervention and regulation system and its working method. Background technique [0002] Biofeedback technology is the use of modern physiological science instruments, through the self-feedback of physiological or pathological information in the human body, to enable the subjects to carry out conscious "idea" control and psychological training after special training. With the development of biofeedback technology, training for emotional regulation has become possible. In the past two years, there have been studies using real-time functional magnetic resonance imaging fMRI feedback technology for emotional regulation training. The subjects completed the regulation process by intuitively observing their own brain activity, effectively confirming the feasibility of the system. However, the feedback experimen...

AI Technical Summary

Problems solved by technology

However, the existing EEG-based mental state assessment system uses electrodes to collect EEG signals, and then uses algorithms such as short-time Fourier transform and principal component analysis to process data, extract data features, and identify emotions in different frequency bands. However, the features extracted by this algorithm are not effective when applied to emotion recognition.

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