Extraction of Behavioral Features from Smartphone and Wearable Data
This provides a tool for researchers in behavioral studies to analyze passive sensor data, but it is incremental as it focuses on feature extraction rather than novel modeling.
The authors tackled the challenge of using raw sensor data from smartphones and wearables by developing a generic framework to extract features related to non-verbal human behavior, enabling researchers to process such data effectively.
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.