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Extraction of Behavioral Features from Smartphone and Wearable Data

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arxiv 1812.10394 v2 pith:P7I6RULA submitted 2018-12-18 cs.CY cs.HCcs.LGstat.ML

Afsaneh Doryab , Prerna Chikarsel , Xinwen Liu , Anind K. Dey This is my paper · ORCID
classification cs.CYcs.HCcs.LGstat.ML
keywords datastreamswearabledevicesfeaturesframeworksmartphonesused
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The rich set of sensors in smartphones and wearable devices provides the possibility to passively collect streams of data in the wild. The raw data streams, however, can rarely be directly used in the modeling pipeline. We provide a generic framework that can process raw data streams and extract useful features related to non-verbal human behavior. This framework can be used by researchers in the field who are interested in processing data from smartphones and Wearable devices.

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