Group mobility classification and structure recognition using mobile devices

@article{Du2016GroupMC,
  title={Group mobility classification and structure recognition using mobile devices},
  author={He Du and Zhiwen Yu and Fei Yi and Zhu Wang and Qi Han and Bin Guo},
  journal={2016 IEEE International Conference on Pervasive Computing and Communications (PerCom)},
  year={2016},
  pages={1-9}
}
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… CONTINUE READING

Figures, Tables, and Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-9 OF 9 CITATIONS

Recognition of Group Mobility Level and Group Structure with Mobile Devices

He Du, Zhiwen Yu, +3 authors Bin Guo
  • IEEE Transactions on Mobile Computing
  • 2018
VIEW 2 EXCERPTS
CITES BACKGROUND & METHODS

Recognition of Human Computer Operations Based on Keystroke Sensing by Smartphone Microphone

Zhiwen Yu, He Du, +3 authors Bin Guo
  • IEEE Internet of Things Journal
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

Time-lag method for detecting following and leadership behavior of pedestrians from mobile sensing data

  • 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom)
  • 2013
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

Grace: Recognition of Proximity-Based Intentional Groups Using Collaborative Mobile Devices

  • 2014 IEEE 11th International Conference on Mobile Ad Hoc and Sensor Systems
  • 2014
VIEW 4 EXCERPTS

An agent-based model of pedestrian dynamics considering groups: A real world case study

  • 17th International IEEE Conference on Intelligent Transportation Systems (ITSC)
  • 2014
VIEW 1 EXCERPT

Capturing crowd dynamics at large scale events using participatory GPS-localization

  • 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
  • 2014
VIEW 1 EXCERPT

QueueSense: Collaborative recognition of queuing on mobile phones

  • 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
  • 2014
VIEW 3 EXCERPTS