Group affiliation detection in a challenging environment

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Standard

Group affiliation detection in a challenging environment. / Jonsson, Håkan; Nugues, Pierre.

The 5th International Symposium on Emerging Information, Communication and Networks. Vol. 141 Elsevier Limited, 2018. p. 507-512.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

Harvard

Jonsson, H & Nugues, P 2018, Group affiliation detection in a challenging environment. in The 5th International Symposium on Emerging Information, Communication and Networks. vol. 141, Elsevier Limited, pp. 507-512. https://doi.org/10.1016/j.procs.2018.10.134

APA

Jonsson, H., & Nugues, P. (2018). Group affiliation detection in a challenging environment. In The 5th International Symposium on Emerging Information, Communication and Networks (Vol. 141, pp. 507-512). Elsevier Limited. https://doi.org/10.1016/j.procs.2018.10.134

CBE

Jonsson H, Nugues P. 2018. Group affiliation detection in a challenging environment. In The 5th International Symposium on Emerging Information, Communication and Networks. Elsevier Limited. pp. 507-512. https://doi.org/10.1016/j.procs.2018.10.134

MLA

Jonsson, Håkan and Pierre Nugues "Group affiliation detection in a challenging environment". The 5th International Symposium on Emerging Information, Communication and Networks. Elsevier Limited. 2018, 507-512. https://doi.org/10.1016/j.procs.2018.10.134

Vancouver

Jonsson H, Nugues P. Group affiliation detection in a challenging environment. In The 5th International Symposium on Emerging Information, Communication and Networks. Vol. 141. Elsevier Limited. 2018. p. 507-512 https://doi.org/10.1016/j.procs.2018.10.134

Author

Jonsson, Håkan ; Nugues, Pierre. / Group affiliation detection in a challenging environment. The 5th International Symposium on Emerging Information, Communication and Networks. Vol. 141 Elsevier Limited, 2018. pp. 507-512

RIS

TY - GEN

T1 - Group affiliation detection in a challenging environment

AU - Jonsson, Håkan

AU - Nugues, Pierre

PY - 2018

Y1 - 2018

N2 - Social interaction sensing and indoor positioning using are widely researched. However, many use cases only need to determine proximity, and not the exact location. In this paper, we describe two methods to determine which meeting each user is participating in using proximity data collected from a challenging real-world office.We show that the RSSI threshold approach to detecting proximity is not feasible due to the optimal RSSI range being very small. Instead, we achieve an F-score of 82% with a simple method, k-nearest neighbor classification, using data from the whole population. This method does not need any historical data or training, calibration to an environment, nor find a specific RSSI threshold. Finally, we present result from a user study with a prototype meeting application that identifies meeting participants, and advice on consequences of the above result for UI design.

AB - Social interaction sensing and indoor positioning using are widely researched. However, many use cases only need to determine proximity, and not the exact location. In this paper, we describe two methods to determine which meeting each user is participating in using proximity data collected from a challenging real-world office.We show that the RSSI threshold approach to detecting proximity is not feasible due to the optimal RSSI range being very small. Instead, we achieve an F-score of 82% with a simple method, k-nearest neighbor classification, using data from the whole population. This method does not need any historical data or training, calibration to an environment, nor find a specific RSSI threshold. Finally, we present result from a user study with a prototype meeting application that identifies meeting participants, and advice on consequences of the above result for UI design.

U2 - 10.1016/j.procs.2018.10.134

DO - 10.1016/j.procs.2018.10.134

M3 - Paper in conference proceeding

VL - 141

SP - 507

EP - 512

BT - The 5th International Symposium on Emerging Information, Communication and Networks

PB - Elsevier Limited

ER -