DocumentCode :
1693227
Title :
Sound-based real-time context recognition on smartphone
Author :
Heeyoul Choi ; Sunjae Lee ; Jaemo Sung ; Sangdo Park
Author_Institution :
Intell. Comput. Lab., Samsung Adv. Inst. of Technol., Yongin, South Korea
fYear :
2013
Firstpage :
669
Lastpage :
670
Abstract :
Recently, many people bring their smartphone almost all the time, so the smartphone is considered as a proper device for context recognition. However, the computing power of smartphone is relatively limited to analyze rich contextual cues. In this paper, we present a simple method for smartphone to recognize the context based on sound signals.
Keywords :
audio signal processing; smart phones; contextual cues; smart phone computing power; sound signal-based real-time context recognition; Context; Hidden Markov models; Real-time systems; Servers; Support vector machines; Training; Training data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (ICCE), 2013 IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
2158-3994
Print_ISBN :
978-1-4673-1361-2
Type :
conf
DOI :
10.1109/ICCE.2013.6487065
Filename :
6487065
Link To Document :
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