rapids/docs/features/feature-introduction.md

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# Behavioral Features Introduction
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Every device sensor has a corresponding config section in `config.yaml`, these sections follow a similar structure and we'll use `PHONE_ACCELEROMETER` as an example to explain this structure.
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!!! hint
- 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.
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- 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.
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### Explaining the config.yaml sensor sections with an example
Each sensor section follows the same structure. Click on the numbered markers to know more.
``` { .yaml .annotate }
PHONE_ACCELEROMETER: # (1)
CONTAINER: accelerometer # (2)
PROVIDERS: # (3)
RAPIDS:
COMPUTE: False # (4)
FEATURES: ["maxmagnitude", "minmagnitude", "avgmagnitude", "medianmagnitude", "stdmagnitude"]
SRC_FOLDER: "rapids"
SRC_LANGUAGE: "python"
PANDA:
COMPUTE: False
VALID_SENSED_MINUTES: False
FEATURES: # (5)
exertional_activity_episode: ["sumduration", "maxduration", "minduration", "avgduration", "medianduration", "stdduration"]
nonexertional_activity_episode: ["sumduration", "maxduration", "minduration", "avgduration", "medianduration", "stdduration"]
SRC_FOLDER: "panda"
SRC_LANGUAGE: "python" # (6)
```
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These are descriptions of each marker for accessibility:
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