Title :
Cloud based activity monitoring system for health and sport
Author :
Rowlands, D.D. ; McNab, T. ; Laakso, L. ; James, Daniel A.
Author_Institution :
Centre for Wireless Monitoring & Applic., Griffith Univ., Brisbane, QLD, Australia
Abstract :
This paper gives the concept, design, and implementation of an activity monitoring system that incorporates a database and a data analysis language as an integral part of the structure. The versatility of the design allows many different analysis techniques to be run on the extracted data. This forms the framework to allow different machine learning techniques to be applied to the data without the construction of separate dedicated systems. As an example application, this paper applies the system to determine some key features of a running based activity.
Keywords :
cloud computing; computerised monitoring; data analysis; data structures; database management systems; health care; learning (artificial intelligence); sport; cloud based activity monitoring system; data analysis language; database; health activity; machine learning techniques; running based activity; sport activity; Accelerometers; Data mining; Database systems; MATLAB; Machine learning; Monitoring; activity monitoring; database; health; inertial sensor; sport;
Conference_Titel :
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1488-6
Electronic_ISBN :
2161-4393
DOI :
10.1109/IJCNN.2012.6252502