Deakin University

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

conference contribution
posted on 2017-11-07, 00:00 authored by A B Abkenar, Seng LokeSeng Loke, J X Zheng, Arkady ZaslavskyArkady Zaslavsky
© 2017 Association for Computing Machinery. 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.



478 - 481


Association for Computing Machinery


Melbourne, Vic.

Place of publication

New York, N.Y.

Start date


End date




Publication classification

E Conference publication; E1 Full written paper - refereed

Title of proceedings

MobiQuitous 2017 Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services