Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity

Michael Haus, Aaron Yi Ding, Jorg Ott

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

Pervasive computing environments are characterized by a plethora of sensing and communication-enabled devices that diffuse themselves among different users. Built-in sensors and telecommunication infrastructure allow co-presence detection. In turn, co-presence detection enables context-aware applications, like those for social networking among close-by users, and for modeling human behavior. We aim to support developers building better context-aware applications by a deepened understanding of which set of context information is appropriate for co-presence detection. We have gathered a multimodal dataset for proximity sensing, including several proximity verification sets, like Bluetooth, Wi-Fi, and GSM encounters, to be able to associate sensor's data with a spatial granularity. We show that sensor modalities are suitable to recognize the spatial adjacency of users with different spatio-temporal granularity. We find that individual user mobility has only a minor, negligible effect on co-presence detection. In contrast, the heterogeneity of device's sensor hardware has a major negative impact on co-presence detection. To reveal energy pitfalls with respect to usability, we perform an energy analysis pertaining to the usage stemming from different sensors for co-presence detection.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781728147161
DOIs
Publication statusPublished - 2020
Event2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020 - Austin, United States
Duration: 23 Mar 202027 Mar 2020

Publication series

Name2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020

Conference

Conference2020 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2020
CountryUnited States
CityAustin
Period23/03/2027/03/20

Keywords

  • Co-presence detection
  • Device heterogeneity
  • Multimodal sensor dataset
  • Sensor energy use
  • User mobility

Fingerprint Dive into the research topics of 'Multimodal Co-Presence Detection with Varying Spatio-Temporal Granularity'. Together they form a unique fingerprint.

Cite this