Emotional fluctuation monitoring and recognition big data early warning system based on vital signs

Abstract

According to the emotional fluctuation monitoring and recognition big data early warning system and method based on the vital signs, relationships are established between the vital sign data and the emotional states of the user, and the relationships between the vital sign threshold values and the emotional states can be adjusted through the terminal equipment; and individual difference requirements caused by different ages, genders and the like in emotion monitoring are met. In the emotion recognition, the accuracy of the result is effectively ensured based on a progressive mode of single vital sign decision-making to multi-sign joint decision-making, and the offline long-term trend monitoring means provided by the invention is also beneficial to monitoring and early warning of key target crowds in a specific scene. The emotion monitoring process is relatively simple in operation, and the cost of big data processing can be saved.

Description

technical field [0001] The invention belongs to the technical field of emotion monitoring and identification, and in particular relates to a big data early warning system for monitoring and identifying emotional fluctuations based on vital signs. Background technique [0002] At present, with the change of human life style and the acceleration of the pace of life, it is more and more easy to induce high psychological pressure and negative emotions, which also leads to many social problems. How to monitor human emotions has gradually received attention. In the prior art, the monitoring of people's emotional fluctuations is mainly focused on the monitoring of a relatively single type of emotion, and there is no solution for comprehensively monitoring various emotions and providing corresponding early warnings. In some schemes of predicting emotions based on vital signs, most of them use the means of comparing target sign parameters with fixed thresholds, but this method may ha...

AI Technical Summary

Problems solved by technology

In the existing technology, the emotional fluctuations of people are mainly focused on the monitoring of some relatively single emotions, and there has not been a plan for comprehensive monitoring of various emotions and providing corresponding early warnings

In some schemes of predicting emotions based on vital signs, most of them use the means of comparing target sign parameters with fixed thresholds, but this method may have great limitations for emotional states identified by users of different ages, genders, and different environments. difference, leading to inaccurate recognition results

However, in the existing technology based on face recognition and micro-expression analysis to realize emotion recognition, there is also the problem of unsatisfactory recognition accuracy due to the wide variety of expressions made by individuals when expressing emotions.

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