The Community for Technology Leaders
2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud) (2014)
Oxford, United Kingdom
April 8, 2014 to April 11, 2014
ISBN: 978-1-4799-4425-5
pp: 117-126
ABSTRACT
Activity recognition and context-aware systems with mobile users have attracted much attention recently, with numerous applications. Also, for a system to be scalable, cloud computing is a useful paradigm, but needs to be appropriately integrated. This paper presents an innovative approach for mobile activity recognition that exploits a hybrid model using both machine learning techniques and stream reasoning using an ontological representation of activities. As a proof-of-concept, we implemented a cloud-hosted framework called MyActivity using Continuous SPARQL (C-SPARQL) to run queries in order to recognize human activities with accelerometer and GPS data from mobile devices.
INDEX TERMS
mobile cloud application, continuous activity recognition, stream reasoning, context-aware mobile computing
CITATION

A. BakhshandehAbkenar and S. W. Loke, "MyActivity: Cloud-Hosted Continuous Activity Recognition Using Ontology-Based Stream Reasoning," 2014 2nd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)(MOBILECLOUD), Oxford, United Kingdom, 2014, pp. 117-126.
doi:10.1109/MobileCloud.2014.27
94 ms
(Ver 3.3 (11022016))