Wearable multi-mode emotional state monitoring device

Abstract

The invention discloses a device based on wearable multi-mode emotion monitoring. The device comprises VR glasses, a wearable multi-mode signal acquisition module and an intelligent calculation module, wherein the VR glasses are used for establishing an emotion induction scene of an intelligent interactive real social scene; a wearable multi-mode emotion acquisition module acquires multi-mode physiological information of electroencephalogram, myoelectricity, electrocardio, dermatoelectricity, eye images and mouth images from the head, the faces, the chest and the wrists of a wearer; and the intelligent calculation module is used for preprocessing multi-dimensional signals, performing feature abstraction on the multi-mode heterogeneous data, performing cooperative representation and fusionon multi-source features, performing multi-task regression learning by using a multi-layer perceptron model, and finally, performing multi-dimensional emotion judgment and result output. According tothe invention, the problems of no quantitative analysis, no test equipment and the like in traditional emotion evaluation are solved, and a reliable experimental paradigm, a mechanism theory and an equipment environment are provided for evaluating and monitoring the multi-dimensional emotion.

Description

technical field [0001] The invention relates to the technical field of intelligent emotion monitoring of human-computer interaction, in particular to a wearable multi-modal intelligent emotion monitoring device. Background technique [0002] Emotion is a common psychological phenomenon that plays an important role in people's lives. In modern society, with the continuous advancement of science and technology, people's demand for real-time monitoring of their physical and mental state is increasing. On the one hand, people hope that through real-time monitoring and understanding of their physical and mental states, they can play the role of early warning and timely resolution before physical and mental problems; on the other hand, in the working environment, real-time monitoring and accurate monitoring of their own emotions Evaluation can avoid human errors in work and plays an important role in improving work performance. [0003] Emotions are the result of the joint actio...

AI Technical Summary

Problems solved by technology

[0004] At present, most of the research on emotion recognition starts with contact methods such as facial expressions, gestures, and voice intonation. Non-inductive, better able to meet the needs of intelligent interactive wearable emotional monitoring

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