標題: Inference of Conversation Partners by Cooperative Acoustic Sensing in Smartphone Networks
作者: Chen, Yan-Ann
Chen, Ji
Tseng, Yu-Chee
資訊工程學系
Department of Computer Science
關鍵字: Acoustic sensing;conversation inference;cooperative sensing;pervasive computing;smartphone;social interaction
公開日期: 1-Jun-2016
摘要: A lot of personal daily contexts and activities may be inferred by analyzing acoustic signals in vicinity. Conversations play an important role in one\'s social communications. In this work, we consider the inference of conversation partners via acoustic sensing conducted by a group of smartphones in vicinity. By considering the continuity and overlap of speeches, we propose novel inference methods to identify conversational relationships among co-located users. In our system, each smartphone individually processes the acoustic data to understand its owner\'s talking turns and emotions. Via direct wireless communications, smartphones then cooperatively conduct the inference to retrieve conversational groups. Compared to existing work, which only exploits peer-to-peer conversational relationships, our approach is able to capture group conversational relationships in a more real-time manner. A prototype on Android smartphones is demonstrated to verify the feasibility of our approach. We also collect conversation data from movie clips and real life with 2 to 14 speakers to validate our result, which shows promising performance.
URI: http://dx.doi.org/10.1109/TMC.2015.2465376
http://hdl.handle.net/11536/133948
ISSN: 1536-1233
DOI: 10.1109/TMC.2015.2465376
期刊: IEEE TRANSACTIONS ON MOBILE COMPUTING
Volume: 15
Issue: 6
起始頁: 1387
結束頁: 1400
Appears in Collections:Articles