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.
- Pub Date:
- December 2018
- Computer Science - Computers and Society;
- Computer Science - Human-Computer Interaction;
- Computer Science - Machine Learning;
- Statistics - Machine Learning