DocumentCode
1709880
Title
A mobile human activity recognition system
Author
Lara, Óscar D. ; Labrador, Miguel A.
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA
fYear
2012
Firstpage
38
Lastpage
39
Abstract
Context-aware applications have been the focus of extensive research, yet their implementation in mobile devices usually becomes challenging due to restrictions of processing and energy. In this work, we present, demonstrate, and evaluate a mobile platform for real-time human activity recognition. The evaluation results indicate that the system can be implemented in real scenarios meeting accuracy, response time, and energy consumption requirements.
Keywords
behavioural sciences; mobile computing; mobile handsets; pattern recognition; context-aware application; energy consumption requirement; mobile device; mobile human activity recognition; mobile platform; Accuracy; Feature extraction; Humans; Mobile communication; Real time systems; Sensors; Servers; Human-centric sensing; Machine learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4577-2070-3
Type
conf
DOI
10.1109/CCNC.2012.6181040
Filename
6181040
Link To Document