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
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;
Conference_Titel :
Consumer Communications and Networking Conference (CCNC), 2012 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4577-2070-3
DOI :
10.1109/CCNC.2012.6181040
