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Wearable Social Sensing and Its Application in Anxiety Assesment

Lookup NU author(s): Dr Bin Gao, Dr Long Jiang, Dr Wai Lok Woo

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Abstract

© 2017 IEEE. 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.


Publication metadata

Author(s): Gu J, Gao B, Chen Y, Jiang L, Gao Z, Ma X, Ma Y, Woo WL

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC 2017)

Year of Conference: 2017

Pages: 305-308

Online publication date: 11/01/2018

Acceptance date: 02/04/2016

Publisher: IEEE

URL: https://doi.org/10.1109/CyberC.2017.66

DOI: 10.1109/CyberC.2017.66

Library holdings: Search Newcastle University Library for this item

ISBN: 9781538622094


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