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Lookup NU author(s): Dr Bin Gao,
Dr Long Jiang,
Dr Wai Lok Woo
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© 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.
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
Online publication date: 11/01/2018
Acceptance date: 02/04/2016
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