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

doi:10.1109/CyberC.2017.66

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

Computer Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

7 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 language	English
Title of host publication	Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017
Publisher	IEEE
Pages	305-308
Number of pages	4
ISBN (Electronic)	9781538622094
ISBN (Print)	9781538622100
DOIs	https://doi.org/10.1109/CyberC.2017.66
Publication status	Published - 11 Jan 2018
Event	The 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery - Nanjing, China Duration: 12 Oct 2017 → 14 Oct 2017 http://www.cyberc.org/

Conference

Conference	The 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery
Abbreviated title	CyberC 2017
Country/Territory	China
City	Nanjing
Period	12/10/17 → 14/10/17
Internet address	http://www.cyberc.org/

Keywords

Audio and activity features
Social signal processing
Wearable device

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CyberC.2017.66

Cite this

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title = "Wearable Social Sensing and Its Application in Anxiety Assesment",

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.",

keywords = "Audio and activity features, Social signal processing, Wearable device",

author = "Jun Gu and Bin Gao and Yuanpeng Chen and Long Jiang and Zhao Gao and Xiaole Ma and Yong Ma and Woo, {W. L.}",

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month = jan,

day = "11",

doi = "10.1109/CyberC.2017.66",

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booktitle = "Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017",

publisher = "IEEE",

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note = "The 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017 ; Conference date: 12-10-2017 Through 14-10-2017",

url = "http://www.cyberc.org/",

}

Gu, J, Gao, B, Chen, Y, Jiang, L, Gao, Z, Ma, X, Ma, Y & Woo, WL 2018, Wearable Social Sensing and Its Application in Anxiety Assesment. in Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017. IEEE, pp. 305-308, The 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, Nanjing, China, 12/10/17. https://doi.org/10.1109/CyberC.2017.66

TY - CHAP

T1 - Wearable Social Sensing and Its Application in Anxiety Assesment

AU - Gu, Jun

AU - Gao, Bin

AU - Chen, Yuanpeng

AU - Jiang, Long

AU - Gao, Zhao

AU - Ma, Xiaole

AU - Ma, Yong

AU - Woo, W. L.

PY - 2018/1/11

Y1 - 2018/1/11

N2 - 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.

AB - 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.

KW - Audio and activity features

KW - Social signal processing

KW - Wearable device

U2 - 10.1109/CyberC.2017.66

DO - 10.1109/CyberC.2017.66

M3 - Chapter

SN - 9781538622100

SP - 305

EP - 308

BT - Proceedings - 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2017

PB - IEEE

T2 - The 9th International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery

Y2 - 12 October 2017 through 14 October 2017

ER -

Wearable Social Sensing and Its Application in Anxiety Assesment

Abstract

Conference

Keywords

UN SDGs

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