Group mobility classification and structure recognition using mobile devices

He Du, Zhiwen Yu, Fei Yi, Zhu Wang, Qi Han, Bin Guo

科研成果: 书/报告/会议事项章节会议稿件同行评审

14 引用 (Scopus)

摘要

Monitoring group mobility and structure is crucial for public safety management and emergency evacuation. In this paper, we propose a fine-grained mobility classification and structure recognition approach for social groups based on hybrid sensing using mobile devices. First, we present a method which classifies group mobility into four levels, including stationary, strolling, walking and running. Second, by combining mobile sensing and Wi-Fi signals, a novel relative position relationship estimation algorithm is developed to understand moving group structures of different shapes. We have conducted real-life experiments in which eight volunteers form two to three small groups moving in a teaching building with different speed and structures. Experimental results show that our approach achieves an accuracy of 99.5% in mobility classification and about 80% in group structure recognition.

源语言英语
主期刊名2016 IEEE International Conference on Pervasive Computing and Communications, PerCom 2016
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781467387798
DOI
出版状态已出版 - 19 4月 2016
活动14th IEEE International Conference on Pervasive Computing and Communications, PerCom 2016 - Sydney, 澳大利亚
期限: 14 3月 201619 3月 2016

出版系列

姓名2016 IEEE International Conference on Pervasive Computing and Communications, PerCom 2016

会议

会议14th IEEE International Conference on Pervasive Computing and Communications, PerCom 2016
国家/地区澳大利亚
Sydney
时期14/03/1619/03/16

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