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发表刊物：IEEE Transactions on Human-Machine Systems

摘要：Developing audio processing tools for extracting social-audio features are just as important as conscious content for determining human behavior. Psychologists speculate these features may have evolved as a way to establish hierarchy and group cohesion because they function as a subconscious discussion about relationships, resources, risks, and rewards. In this paper, we present the design, implementation, and deployment of a wearable computing platform capable of automatically extracting and analyzing social-audio signals.

全部作者： W.L. Woo

通讯作者：Bin Gao

学科门类：工学

卷号：44

期号：2

页面范围：222-233

是否译文：否

发表时间：2014-02-05