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Proximity and Direction-Based Subgroup Familiarity-Analysis Model

  • Jung-In Choi
  • Hwan-Seung Yong
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 461)

Abstract

In this paper, we have reported an effective model for familiarity analysis in indoor environments based on proximity and direction. We employ the positioning data of users; thus, we avoid recording the action or any conversation pertaining to the users. We use the beacon signal to find a user’s location and choose a subgroup, which is a temporary group obtained using the location of the users. The proposed method analyzes the familiarity using two different methods. The proximity-based method is used to calculate the familiarity based on the time for which the user has stayed in the subgroup. The direction-based method is used to calculate the familiarity based on the direction of each user in the subgroup. This study addressed situations arising in an event or a group activity in indoors to analyze the degree of familiarity by determining the location of a user.

Keywords

Bluetooth low-energy beacon Familiarity analysis Indoor positioning Subgroup analysis 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringEwha Womans UniversitySeoulSouth Korea

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