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Proximity and Direction-Based Subgroup Familiarity-Analysis Model

Title
Proximity and Direction-Based Subgroup Familiarity-Analysis Model
Authors
Choi J.-I.Yong H.-S.
Ewha Authors
용환승
SCOPUS Author ID
용환승scopus
Issue Date
2018
Journal Title
Lecture Notes in Electrical Engineering
ISSN
1876-1100JCR Link
Citation
vol. 461, pp. 309 - 318
Keywords
Bluetooth low-energy beaconFamiliarity analysisIndoor positioningSubgroup analysis
Publisher
Springer Verlag
Indexed
SCOPUS scopus
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. © 2018, Springer Nature Singapore Pte Ltd.
DOI
10.1007/978-981-10-6520-0_34
ISBN
9789811065194
Appears in Collections:
엘텍공과대학 > 컴퓨터공학과 > Journal papers
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