mood魔术师:一个普遍和不引人注目的情绪感应系统,使用手机来改善人类的心理健康

Shuangjiang Li, Rui Guo, Li He, Wei Gao, H. Qi, Gina P. Owens
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引用次数: 7

摘要

在这个演示中,我们展示了mood魔术师,这是一个普遍而不引人注目的移动电话系统,通过记录、处理和分析来自人体的实时流皮肤电反应(GSR)信号来推断人类的情绪。传统的多模态情感传感系统依赖于来自多个传感源的数据,因此可能会干扰人们的日常生活,不同于传统的多模态情感传感系统,我们提出的系统能够使用单个GSR信号检测各种类别的人类情感,该信号由紧凑的可穿戴移动传感设备以不显眼的方式捕获。该系统已通过精心设计的实际实验进行了评估,以识别人类的情绪。通过开发有效的预处理算法和从GSR信号中提取代表性特征,每种情绪的识别准确率可达70%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MoodMagician: a pervasive and unobtrusive emotion sensing system using mobile phones for improving human mental health
In this demo, we present MoodMagician, a pervasive and unobtrusive mobile phone system for inferring human emotions through the recording, processing, and analysis of the real-time streaming Galvanic Skin Response (GSR) signal from human bodies. Being different from traditional multimodal emotion sensing systems which rely on data from multiple sensing sources and may hence interfere with people's daily life, our proposed system is able to detect various categories of human emotions using single GSR signal, which is captured by compact and wearable mobile sensing devices in an unobtrusive fashion. The proposed system has been evaluated by well-designed practical experiments to recognize human emotions. The recognition accuracy of each emotion can be up to 70% through the development of effective preprocessing algorithms and the extraction of representative features from the GSR signals.
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