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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.
The galvanic skin response (GSR), also known as elec- trodermal response, measures changes in electrical resistance across two regions of the skin. Galvanic skin response can measure arousal levels in children with autism; however, the GSR signal may be overwhelmed by the vigorous movements of the children. This paper introduces ActionGSR, a wireless sensor capable of measuring both GSR and acceleration...
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