Taste perception recognition method and system based on facial surface electromyogram signals

Abstract

The invention discloses a taste perception recognition method and system based on facial surface electromyogram signals. The method comprises the following steps: collecting the potential signals of facial movement muscles related to taste perception nerves and gland related muscles during taste stimulation through electrodes, and obtaining the stimulated taste information through digitization, signal processing and mode recognition. Namely, the taste sense is collected, processed and identified in a characterizable form. Effective surface electromyogram signals are extracted from the face, taste perception information is represented, the brain-computer interface function is achieved, different basic tastes tasted by people can be classified by means of the system and method, and therefore perception of the human body on taste stimulation is truly represented. According to the method, the defect that traditional taste detection methods such as electronic tongues and chemical analysis can only detect taste substances and cannot perform subjective taste perception detection is overcome.

Description

technical field [0001] The invention relates to the fields of information monitoring and artificial intelligence, in particular to a method and system for detecting and identifying the taste perception of chemical substances that are stimulating the human body through facial surface electromyographic signals. Background technique [0002] As the main regulator and driving force of human eating behavior, taste is one of the important senses evolved by humans. Taste affects people's choice of diet, while protecting humans from toxic and harmful foods, it also plays an important role in the regulation of nutrition and metabolism. Humans experience taste through taste buds located on the surface of the tongue. Taste buds are composed of taste cells, and there are taste receptors on the taste cells, which can detect and distinguish various tastes through the interaction with taste substances. [0003] After long-term development, the current taste detection methods mainly inclu...

AI Technical Summary

Problems solved by technology

However, due to the complex structure of the brain, the acquisition of EEG signals contains few effective signals, and the signal-to-noise ratio is high, so it is difficult to directly decode EEG signals.

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