Remote detection of social interactions in indoor environments through bluetooth low energy beacons-Reference-Cited by-同舟云学术

Remote detection of social interactions in indoor environments through bluetooth low energy beacons

Published:2020-05-22 Issue:3 Volume:12 Page:203-217
ISSN:1876-1372
Container-title:Journal of Ambient Intelligence and Smart Environments
language:
Short-container-title:AIS

Author:

Baronti Paolo¹,Barsocchi Paolo¹,Chessa Stefano²,Crivello Antonino¹,Girolami Michele¹,Mavilia Fabio¹,Palumbo Filippo¹

Affiliation:

1. Italian National Council of Research, ISTI-CNR, Pisa, Italy. E-mails: Paolo.Baronti@isti.cnr.it, Paolo.Barsocchi@isti.cnr.it, Antonino.Crivello@isti.cnr.it, Michele.Girolami@isti.cnr.it, Fabio.Mavilia@isti.cnr.it, Filippo.Palumbo@isti.cnr.it

2. Department of Computer Science, University of Pisa, Pisa, Italy. E-mail: stefano.chessa@unipi.it

Publisher

IOS Press

Subject

Software

Reference44 articles.

1. Detecting Socialization Events in Ageing People: The Experience of the DOREMI Project

2. D. Bacciu, C. Gallicchio, A. Micheli, S. Chessa and P. Barsocchi, Predicting user movements in heterogeneous indoor environments by reservoir computing, in: Proc. of the IJCAI Workshop on Space, Time and Ambient Intelligence (STAMI), Barcellona, Spain, 2011, pp. 1–6.

3. Indoor Bluetooth Low Energy Dataset for Localization, Tracking, Occupancy, and Social Interaction

4. Context driven enhancement of RSS-based localization systems

5. Are you in or out? Monitoring the human behavior through an occupancy strategy

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