Real-time intragroup familiarity analysis model using beacon based on proximity
- 주제(키워드) Bluetooth low-energy beacon , familiarity analysis , indoor positioning , intragroup analysis
- 관리정보기술 faculty
- 등재 SCOPUS
- 발행기관 Institute of Electrical and Electronics Engineers Inc.
- 발행년도 2016
- 총서유형 Journal
- 회의명 7th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference, UEMCON 2016
- 일자 20 October 2016 through 22 October 2016
- URI http://www.dcollection.net/handler/ewha/000000141621
- ISBN 9781509014965
- 본문언어 영어
- Published As http://dx.doi.org/10.1109/UEMCON.2016.7777869
초록/요약
An analysis of the familiarity between users in a group requires large amounts of information. We could determine the degree of familiarity by using personal information gleaned from a social networking service. For a realtime service, we usually use video data. Unfortunately, this data is closely related to a user's privacy, so the user may feel uncomfortable about its use. Therefore, in this study, we set out to devise a real-time familiarity analysis model using a minimal amount of information and a Bluetooth low-energy beacon. Unlike the traditional approach, the devices receiving the beacon signal are placed on a desk, wall, or ceiling and the user carries a beacon. The beacon transmits only its ID and a received signal strength indication (RSSI) signal. Using the device for receiving the beacon signal, a user's location can be monitored so that the server can analyze the intragroup and calculate the degree of familiarity between users. This study addressed those situations arising in a party-like event, in a school, in a company, etc. to attempt to analyze the degree of familiarity by determining a person's location at specific times. This technology could also be applied to exhibitions, parks, and amusement parks to determine the most popular exhibits, spots, and facilities in real time. © 2016 IEEE.
more