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 language | English |
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Title of host publication | Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems |
Subtitle of host publication | Computing, Networking and Services |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 478-481 |
Number of pages | 4 |
ISBN (Print) | 9781450353687 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (14th : 2017) - Melbourne, Australia Duration: 7 Nov 2017 → 10 Nov 2017 |
Conference
Conference | EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (14th : 2017) |
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Abbreviated title | MobiQuitous 2017 |
Country/Territory | Australia |
City | Melbourne |
Period | 7/11/17 → 10/11/17 |
Keywords
- Context-Aware
- Situation-Awareness
- Mobile Stream Data
- Pervasive Computing
- Group Activity Recognition
- Road Safety