A Naive Technique Correcting Time-Series Data for Recognition Applications

A Naive Technique Correcting Time-Series Data for Recognition Applications

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 usingwirele...

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Bibliographische Detailangaben
Hauptverfasser: Westeyn, T., Presti, P., Johnson, J., Starner, T.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Clocks
Delay
Error correction
Pattern recognition
Sensor systems
sensors
Streaming media
Synchronization
Timing
Wearable computers
Wireless sensor networks
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Beschreibung
Zusammenfassung: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.
ISSN:1550-4816
2376-8541
DOI:10.1109/ISWC.2009.19