TY - GEN
T1 - Group mobility classification and structure recognition using mobile devices
AU - Du, He
AU - Yu, Zhiwen
AU - Yi, Fei
AU - Wang, Zhu
AU - Han, Qi
AU - Guo, Bin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/4/19
Y1 - 2016/4/19
N2 - 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.
AB - 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.
KW - group mobility
KW - group structure
KW - mobile sensing
KW - relative position relationship
UR - http://www.scopus.com/inward/record.url?scp=84969174951&partnerID=8YFLogxK
U2 - 10.1109/PERCOM.2016.7456523
DO - 10.1109/PERCOM.2016.7456523
M3 - 会议稿件
AN - SCOPUS:84969174951
T3 - 2016 IEEE International Conference on Pervasive Computing and Communications, PerCom 2016
BT - 2016 IEEE International Conference on Pervasive Computing and Communications, PerCom 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Pervasive Computing and Communications, PerCom 2016
Y2 - 14 March 2016 through 19 March 2016
ER -