Clearing a crowd: context-supported neighbor positioning for people-centric navigation

  • Authors:

  • Takamasa Higuchi;Hirozumi Yamaguchi;Teruo Higashino

  • Affiliations:

  • Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan;Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan,Japan Science and Technology Agency, CREST, Japan;Graduate School of Information Science and Technology, Osaka University, Suita, Osaka, Japan,Japan Science and Technology Agency, CREST, Japan

  • Venue:
  • Pervasive'12 Proceedings of the 10th international conference on Pervasive Computing
  • Year:
  • 2012

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Abstract

This paper presents a positioning system for "people-centric" navigation, which estimates relative positions of surrounding people to help users to find a target person in a crowd of neighbors. Our system, called PCN, employs pedestrian dead reckoning (PDR) and proximity sensing with Bluetooth only using off-the-shelf mobile phones. Utilizing the feature of "group activity" where people naturally form groups moving similarly and together in exhibitions, parties and so on, PCN corrects deviation of distance and direction in PDR. The group information is also helpful to identify the surrounding people in the navigation. A field experiment in a real exhibition with 20 examinees carrying Google Android phones was conducted to show its effectiveness.