Title of Paper:Wearable Social Sensing: Content-Based Processing Methodology and Implementation

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Journal:IEEE Sensors Journal

Abstract:Developing wearable activity and speech sensing for assessing human physical and mental health is just as significant as conscious content for determining social behavior. Multiple social relevant sensors such as microphones and accelerometer embedded in wearable devices paves the way to provide the opportunity to continuously and non-invasively monitor anxiety and stress in real-life situation. In this paper, we present the design, implementation, and deployment of a wearable computing platform capable of automatically extracting and analyzing social signals.

All the Authors:Jun Gu, Yuanpeng Chen, Long Jiang, Zhao Gao, Xiaole Ma, Yong Ma, Wai Lok Woo, Jikun Jin

Indexed by:Applied Research

Correspondence Author:Bin Gao

Volume:17

Issue:21

Page Number:7167-7176

Translation or Not:no

Date of Publication:2017-11-01