A behavioral feature is a metric computed from raw sensor data quantifying the behavior of a participant. For example, the time spent at home computed based on location data. These are also known as digital biomarkers.
RAPIDS' `config.yaml` has a section for each supported device/sensor (e.g., `PHONE_ACCELEROMETER`, `FITBIT_STEPS`, `EMPATICA_HEARTRATE`). These sections follow a similar structure, and they can have one or more feature `PROVIDERS`, that compute one or more behavioral features. You will modify the parameters of these `PROVIDERS` to obtain features from different mobile sensors. We'll use `PHONE_ACCELEROMETER` as an example to explain this further.
- We recommend reading this page if you are using RAPIDS for the first time
- All computed sensor features are stored under `/data/processed/features` on files per sensor, per participant and per study (all participants).
- Every time you change any sensor parameters, provider parameters or provider features, all the necessary files will be updated as soon as you execute RAPIDS.
- In short, to extract features offered by a provider, you need to set its `[COMPUTE]` flag to `TRUE`, configure any of its parameters, and [execute](../../setup/execution) RAPIDS.
