This paper introduces a prototype we named HealthyLife which uses Answer set programming based Stream Reasoning (ASR) in combination with Artificial Neural Network (ANN) to automatically recognize users activities. HealthyLife aims to provide statistics about user habits and provide suggestions and alerts to the user to help the user maintain a healthy lifestyle. The advantages of HealthyLife over other projects are: (i) no restriction on how to carry the phone (such as in hand bag), (ii) detect complex activities and give recommendations, (iii) deal well with ambiguity when recognizing situations, and (iv) no additional devices are required.
History
Volume
120
Pagination
188-199
Location
Beijing, China
Start date
2012-12-12
End date
2012-12-14
ISSN
1867-8211
ISBN-13
9783642402371
Language
eng
Publication classification
E1.1 Full written paper - refereed
Copyright notice
2013, ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
Editor/Contributor(s)
Zheng K, Li M, Jiang H
Title of proceedings
MobiQuitous 2012: Proceedings of the 9th International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services
Event
Mobile and Ubiquitous Systems. Conference (9th : 2012 : Beijing, China)