Wearable Social Sensing and Its Application in Anxiety Assesment

Jun Gu, Bin Gao, Yuanpeng Chen, Long Jiang, Zhao Gao, Xiaole Ma, Yong Ma, W. L. Woo

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

It is meaningful to assess people's physical and mental health as well as the determination the sense of social behavior of using wearable equipment and analyze their voice and behavioral characteristics. Microphones, accelerometers and gyroscopes are embedded in wearable devices, which provides opportunities for non-invasive monitoring of anxiety and stress in real situation. In this paper, we devise a wearable platform that can be used to calculate and analyze social behavior signals. Experiment results shows that behavioral and linguistic features can show a variety of personal anxiety. This study has potential to objectively determine social behavior consciousness.
Original languageEnglish
Title of host publicationProceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017
PublisherIEEE
Pages305-308
Number of pages4
ISBN (Electronic)9781538622094
ISBN (Print)9781538622100
DOIs
Publication statusPublished - 11 Jan 2018
EventThe 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery - Nanjing, China
Duration: 12 Oct 201714 Oct 2017
http://www.cyberc.org/

Conference

ConferenceThe 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
Abbreviated titleCyberC 2017
CountryChina
CityNanjing
Period12/10/1714/10/17
Internet address

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