Service-mediated on-road situation-awareness for group activity safety

Amin B. Abkenar, Seng W. Loke, James Xi Zheng, Arkady Zaslavsky

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Human activity recognition using embedded mobile and embedded sensors is becoming increasingly important. Scaling up from individuals to groups, that is, group activity recognition, has attracted significant attention recently. This paper proposes a model and specification language for group activities called GroupSense-L, and a novel architecture called GARSAaaS (GARSA-as-a-Service) to provide services for mobile Group Activity Recognition and Situation Analysis (GARSA) applications. We implemented and evaluated GARSAaaS which is an extension of a framework called GroupSense where sensor data, collected using smartphone sensors, smartwatch sensors and embedded sensors, are aggregated via a protocol for these different devices to share information, as required for GARSA. We illustrate our approach via a scenario for providing services for tour leaders aiding Vehicle-to-Human (V2H), Vehicle-to-Group (V2G) and Vehicle-to-Vehicle (V2V) interactions to increase the group safety. We demonstrate the feasibility of our model and expressiveness of our proposed model.

Original languageEnglish
Title of host publicationProceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems
Subtitle of host publicationComputing, Networking and Services
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages478-481
Number of pages4
ISBN (Print)9781450353687
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventEAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (14th : 2017) - Melbourne, Australia
Duration: 7 Nov 201710 Nov 2017

Conference

ConferenceEAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (14th : 2017)
Abbreviated titleMobiQuitous 2017
CountryAustralia
CityMelbourne
Period7/11/1710/11/17

Keywords

  • Context-Aware
  • Situation-Awareness
  • Mobile Stream Data
  • Pervasive Computing
  • Group Activity Recognition
  • Road Safety

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