DocumentCode
156715
Title
MyActivity: Cloud-Hosted Continuous Activity Recognition Using Ontology-Based Stream Reasoning
Author
Bakhshandehabkenar, Amin ; Loke, Seng W.
Author_Institution
Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ., Melbourne, VIC, Australia
fYear
2014
fDate
8-11 April 2014
Firstpage
117
Lastpage
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.
Keywords
cloud computing; inference mechanisms; learning (artificial intelligence); mobile computing; ontologies (artificial intelligence); social sciences computing; C-SPARQL; GPS data; MyActivity; accelerometer; cloud computing; cloud-hosted continuous activity recognition; cloud-hosted framework; context-aware systems; continuous SPARQL; human activity recognition; hybrid model; innovative approach; machine learning techniques; mobile activity recognition; mobile devices; mobile users; ontological representation; ontology-based stream reasoning; queries; Accelerometers; Cognition; Feature extraction; Global Positioning System; Legged locomotion; Mobile communication; Ontologies; context-aware mobile computing; continuous activity recognition; mobile cloud application; stream reasoning;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2014 2nd IEEE International Conference on
Conference_Location
Oxford
Type
conf
DOI
10.1109/MobileCloud.2014.27
Filename
6834953
Link To Document