DocumentCode
2771714
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
fYear
2012
fDate
10-15 June 2012
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks (IJCNN), The 2012 International Joint Conference on
Conference_Location
Brisbane, QLD
ISSN
2161-4393
Print_ISBN
978-1-4673-1488-6
Electronic_ISBN
2161-4393
Type
conf
DOI
10.1109/IJCNN.2012.6252502
Filename
6252502
Link To Document