MyActivity: cloud-hosted continuous activity recognition using ontology-based stream reasoning

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.