The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Automatical Emotion Recognition Based on Daily Gait
|
|
Author(s): Xiaoqian Liu (University of Chinese Academy of Sciences, China)and Tingshao Zhu (University of Chinese Academy of Sciences, China)
Copyright: 2019
Pages: 14
Source title:
Analyzing Human Behavior in Cyberspace
Source Author(s)/Editor(s): Zheng Yan (University at Albany (SUNY), USA)
DOI: 10.4018/978-1-5225-7128-5.ch004
Purchase
|
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.
Related Content
|
Tamara Leigh Wandel.
© 2023.
22 pages.
|
|
Berceste Gülçin Özdemir.
© 2023.
10 pages.
|
|
Shalini Ramdeo, Riann Singh.
© 2023.
16 pages.
|
|
Umut Çıvgın.
© 2023.
19 pages.
|
|
Kadriye Özyazıcı.
© 2023.
20 pages.
|
|
Desmond Onyemechi Okocha, Sienne Ozioma Okpor.
© 2023.
12 pages.
|
|
Nor Hazlina Hashim, Muhammad Emeer Nor Azhar, Marshina Juliza Mohd Hasim, Zaridah Abdullah.
© 2023.
16 pages.
|
|
|