Proximity and Direction-Based Subgroup Familiarity-Analysis Model
- 주제(키워드) Bluetooth low-energy beacon , Familiarity analysis , Indoor positioning , Subgroup analysis
- 관리정보기술 faculty
- 등재 SCOPUS
- 발행기관 Springer Verlag
- 발행년도 2018
- 회의명 7th International Conference on Emerging Databases: Technologies, Applications, and Theory, EDB 2017
- 일자 7 August 2017 through 9 August 2017
- URI http://www.dcollection.net/handler/ewha/000000150159
- 본문언어 영어
- Published As http://dx.doi.org/10.1007/978-981-10-6520-0_34
초록/요약
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. © 2018, Springer Nature Singapore Pte Ltd.
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