Automatical Emotion Recognition Based on Daily Gait

Analyzing Human Behavior in Cyberspace Pub Date : 1900-01-01 DOI:10.4018/978-1-5225-7128-5.CH004

Xiaoqian Liu, T. Zhu

引用次数: 0

Abstract

In this chapter, a kind of emotion recognition method based on gait using a customized smart bracelet with a built-in acceleration sensor was introduced in detail. The results showed that the classification accuracies of angry-neutral, happy-neutral, angry-happy, and angry-happy-neutral using the acceleration data of wrist are 91.3%, 88.5%, 88.5%, and 81.2%, respectively. Besides, the wearable devices and motion-sensing technology application in psychology research have been further discussed, and non-contact emotion identification and mental health monitoring based on offline behaviors were reviewed summarily.

查看原文本刊更多论文

基于日常步态的自动情绪识别

本章详细介绍了一种基于步态的情感识别方法，该方法采用内置加速度传感器的定制智能手环。结果表明，利用腕部加速度数据对愤怒-中性、快乐-中性、愤怒-快乐和愤怒-快乐-中性的分类准确率分别为91.3%、88.5%、88.5%和81.2%。进一步探讨了可穿戴设备和体感技术在心理学研究中的应用，并对基于线下行为的非接触情绪识别和心理健康监测进行了综述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Analyzing Human Behavior in Cyberspace

自引率

0.00%

发文量