Research Article
Service-Mediated On-Road Situation-Awareness for Group Activity Safety
@INPROCEEDINGS{10.4108/eai.7-11-2017.2274136, author={Amin B. Abkenar and Seng Loke and Arkady Zaslavasky and James Zheng}, title={Service-Mediated On-Road Situation-Awareness for Group Activity Safety}, proceedings={14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services}, publisher={ACM}, proceedings_a={MOBIQUITOUS}, year={2018}, month={4}, keywords={context-aware situation-awareness pervasive computing mobile stream data group activity recognition road safety}, doi={10.4108/eai.7-11-2017.2274136} }- Amin B. Abkenar
Seng Loke
Arkady Zaslavasky
James Zheng
Year: 2018
Service-Mediated On-Road Situation-Awareness for Group Activity Safety
MOBIQUITOUS
ACM
DOI: 10.4108/eai.7-11-2017.2274136
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.
