情绪监测系统及其在可穿戴领域的应用研究

Research on emotion monitoring system and its application in wearable field

情绪影响着人类的身心健康,研究情绪监测系统和产品具有重要意义。本文对情绪监测系统中最重要的3个模块:传感器、算法模型和执行器进行探讨,并对其在可穿戴领域中的应用进行综述;在传感器方面,介绍了针对不同的情绪识别内容的传感器,旨在提供传感器的选择依据。尤其是柔性传感器,并对构成柔性电极的材料进行综述;在算法模型方面,介绍了最常用的机器学习和深度学习模型;在执行器方面,从五感出发,介绍情绪反馈装置,用于表达和调节用户情绪。最后对情绪监测类的产品进行调研,分析了目前情绪监测系统研究方面存在的问题,并对情绪监测系统在可穿戴领域尤其在纺织品领域的应用提出展望。

Emotions affect human physical and mental health,making it important to study emotion monitoring systems and products.This paper discusses the three most crucial modules of emotion monitoring systems including sensors,algorithm models and actuators,providing an overview of their applications in the wearable field.Regarding sensors,this article introduces corresponding sensors for different emotional recognition contents,aiming to provide a way for sensor selection.The focus is on introducing flexible sensors and summarizing the materials used for flexible electrodes.In terms of algorithm models,the most commonly used machine learning and deep learning models are introduced.For actuators,feedback devices are presented for expressing and regulating user emotions based on the human body's five senses.Finally,this article focuses on emotion monito-ring products,discusses current issues in the study of emotion monitoring systems,and proposes prospects for the application of emotion monitoring systems in the wearable field,particularly in the textile industry.