DocumentCode :
3415656
Title :
A Naive Technique Correcting Time-Series Data for Recognition Applications
Author :
Westeyn, Tracy ; Presti, Peter ; Johnson, Jeremy ; Starner, Thad
Author_Institution :
Sch. of Interactive Comput., Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
2009
fDate :
4-7 Sept. 2009
Firstpage :
159
Lastpage :
160
Abstract :
Wireless sensor data collected under real world conditions can contain a variety of errors and inconsistencies that can affect pattern recognition algorithms. We describea nainodotve method for correcting wireless sensor data collectedvia non-real-time platforms and visualize the results usingwireless accelerometer data.
Keywords :
accelerometers; pattern recognition; telecommunication computing; wireless sensor networks; naive technique; pattern recognition algorithms; time-series data; wireless accelerometer data; wireless sensor data; Clocks; Delay; Error correction; Pattern recognition; Sensor systems; Streaming media; Synchronization; Timing; Wearable computers; Wireless sensor networks; pattern recognition; sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable Computers, 2009. ISWC '09. International Symposium on
Conference_Location :
Linz
ISSN :
1550-4816
Print_ISBN :
978-0-7695-3779-5
Type :
conf
DOI :
10.1109/ISWC.2009.19
Filename :
5254669
Link To Document :
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