Wearable Social Sensing and Its Application in Anxiety Assesment

Gu, Jun, Gao, Bin, Chen, Yuanpeng, Jiang, Long, Gao, Zhao, Ma, Xiaole, Ma, Yong and Woo, Wai Lok (2018) Wearable Social Sensing and Its Application in Anxiety Assesment. In: CyberC 2017 - The 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 12th - 14th October 2017, Nanjing, China.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CyberC.2017.66

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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Audio and activity features, Social signal processing, Wearable device
Subjects: C800 Psychology
G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 02 Apr 2019 11:12
Last Modified: 10 Oct 2019 20:47
URI: http://nrl.northumbria.ac.uk/id/eprint/38689

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