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发表刊物：IEEE Sensors Journal

摘要：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.

全部作者：Jun Gu, Yuanpeng Chen, Long Jiang, Zhao Gao, Xiaole Ma, Yong Ma, Wai Lok Woo, Jikun Jin

论文类型：应用研究

通讯作者：Bin Gao

卷号：17

期号：21

页面范围：7167-7176

是否译文：否

发表时间：2017-11-01