Using Bluetooth Low Energy Advertisements for the Detection of People Temporal Proximity Patterns
Joint Authors
Garcia-Alonso, Jose
Berrocal, Javier
Pérez-Vereda, Alejandro
Galán-Jiménez, Jaime
Canal, Carlos
Murillo, Juan M.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-13
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Telecommunications Engineering
Abstract EN
The pervasive presence of smartphones has emerged as one of the key elements for sensing people contextual information.
Their sensors and communication capabilities can be used to gather a huge amount of data.
Such capabilities have made it possible to compose profiles of people by relating different parameters such as time and location.
This paper contributes in this sense by providing the basis for the composition of temporal proximity patterns—when and whom people share their time with each other.
For this purpose, the Bluetooth Low Energy (BLE) advertisement protocol was used.
The contribution of this work departs from that of those who use BLE technology focused on measuring the intensity of the signals to, for example, determine distances.
In this field, a huge amount of work has been already done with very interesting results.
Instead, in this work, BLE is used to emit and sense the presence of people.
A set of algorithms are then used inside the smartphones to analyse the data gathered and to detect proximity patterns between people.
This scenario avoids the difficulties that appear in other works—like those focused on people positioning—derived from the lack of precision of the sensors and the differences between BLE chipsets.
Tests to evaluate the consumption, precision, and reliability of using this technology, together with the proposed algorithms, confirmed the feasibility of the approach.
In addition, the proposal has proved very useful for the automatic construction of social networks based on physical closeness of people.
American Psychological Association (APA)
Garcia-Alonso, Jose& Berrocal, Javier& Pérez-Vereda, Alejandro& Galán-Jiménez, Jaime& Canal, Carlos& Murillo, Juan M.. 2020. Using Bluetooth Low Energy Advertisements for the Detection of People Temporal Proximity Patterns. Mobile Information Systems،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1192483
Modern Language Association (MLA)
Garcia-Alonso, Jose…[et al.]. Using Bluetooth Low Energy Advertisements for the Detection of People Temporal Proximity Patterns. Mobile Information Systems No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1192483
American Medical Association (AMA)
Garcia-Alonso, Jose& Berrocal, Javier& Pérez-Vereda, Alejandro& Galán-Jiménez, Jaime& Canal, Carlos& Murillo, Juan M.. Using Bluetooth Low Energy Advertisements for the Detection of People Temporal Proximity Patterns. Mobile Information Systems. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1192483
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1192483