Update extracted.rst
JulioV
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@ -598,68 +598,41 @@ maxconsumptionrate episodes/hours The highest of all episodes’ consump
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.. _google-activity-recognition-sensor-doc:
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Google Activity Recognition
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Activity Recognition
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""""""""""""""""""""""""""""
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See `Google Activity Recognition Config Code`_
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**Available Epochs:** daily, morning, afternoon, evening, night
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**Available Epochs:**
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**Available Platforms:** Android and iOS
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- daily
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- morning
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- afternoon
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- evening
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- night
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**Available Platforms:**
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- Android
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**Snakefile entry:**
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.. - Download raw Google Activity Recognition dataset: ``expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["SENSORS"]),``
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.. - Apply readable dateime to Google Activity Recognition dataset: ``expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["SENSORS"]),``
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.. - Extract the deltas in Google Activity Recognition dataset: ``expand("data/processed/{pid}/plugin_google_activity_recognition_deltas.csv", pid=config["PIDS"]),``
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- Extract Sensor Features:
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**Snakefile entry to compute these features:**
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| ``expand("data/processed/{pid}/google_activity_recognition_{segment}.csv",pid=config["PIDS"],``
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| ``segment = config["GOOGLE_ACTIVITY_RECOGNITION"]["DAY_SEGMENTS"]),``
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**Rule Chain:**
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**Snakemake rule chain:**
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- **Rule:** ``rules/preprocessing.snakefile/download_dataset`` - See the download_dataset_ rule.
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- **Script:** ``src/data/download_dataset.R`` - See the download_dataset.R_ script.
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- **Rule:** ``rules/preprocessing.snakefile/readable_datetime`` - See the readable_datetime_ rule.
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- **Script:** ``src/data/readable_datetime.R`` - See the readable_datetime.R_ script.
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- **Rule:** ``rules/features.snakefile/google_activity_recognition_deltas`` - See the google_activity_recognition_deltas_ rule.
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- **Script:** ``src/features/google_activity_recognition_deltas.R`` - See the google_activity_recognition_deltas.R_ script.
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- **Rule:** ``rules/features.snakefile/activity_features`` - See the activity_features_ rule.
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- **Script:** ``ssrc/features/google_activity_recognition.py`` - See the google_activity_recognition.py_ script.
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- Rule ``rules/preprocessing.snakefile/download_dataset`` runs ``src/data/download_dataset.R``
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- Rule ``rules/preprocessing.snakefile/readable_datetime`` runs ``src/data/readable_datetime.R``
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- Rule ``rules/preprocessing.snakefile/unify_ios_android`` runs ``src/data/unify_ios_android.R``
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- Rule ``rules/features.snakefile/google_activity_recognition_deltas`` runs ``src/features/activity_recognition_deltas.R``
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- Rule ``rules/features.snakefile/ios_activity_recognition_deltas`` runs ``src/features/activity_recognition_deltas.R``
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- Rule ``rules/features.snakefile/activity_features`` runs ``src/features/activity_recognition.py``
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.. _google-activity-recognition-parameters:
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.. _activity-recognition-parameters:
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**Google Activity Recognition Rule Parameters:**
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**Activity Recognition Rule Parameters:**
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============ ===================
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Name Description
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============ ===================
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day_segment The particular ``day_segment`` that will be analyzed. The available options are ``daily``, ``morning``, ``afternoon``, ``evening``, ``night``
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features The different measures that can be retrieved from the Google Activity Recognition dataset. See :ref:`Available Google Activity Recognition Features <google-activity-recognition-available-features>` Table below
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features Features that can be computed. See :ref:`Activity Recognition Features <activity-recognition-available-features>` Table below
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============ ===================
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.. _google-activity-recognition-available-features:
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.. _activity-recognition-available-features:
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**Available Google Activity Recognition Features**
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**Available Activity Recognition Features**
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The following table shows a list of the available features for the Google Activity Recognition dataset.
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@ -675,7 +648,11 @@ summobile minutes The total duration of episodes of on fo
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sumvehicle minutes The total duration of episodes of on vehicle activity
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====================== ============ =============
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**Assumptions/Observations:** N/A
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**Assumptions/Observations:**
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iOS Activity Recognition data labels are unified with Google Activity Recognition levels this way, "automotive" to "in_vehicle", cycling" to "on_bicycle", "walking" and "running" to "on_foot, "stationary" to "still". In addition, iOS activity pairs formed by stationary and automotive labels (driving but stopped at a traffic light) are transformed to automotive only.
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In AWARE, Activity Recognition data for Google (Android) and iOS is stored in two different database tables, RAPIDS (via Snakemake) automatically infers what platform each participant belongs to based on their participant file (``data/external/``) which in turn takes this information from the ``aware_device`` table (see ``optional_ar_input`` function in ``rules/features.snakefile``.
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.. _light-doc:
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@ -1018,11 +995,11 @@ The following table shows a list of the available features for the Fitbit: Sleep
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======================== =========== =============
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Name Units Description
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======================== =========== =============
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sumdurationafterwakeup minutes Time the user stayed in bed after waking up for ``sleep_type`` during ``day_segment``.
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sumdurationasleep minutes Sleep duration for ``sleep_type`` during ``day_segment``.
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sumdurationawake minutes Time the user was awake but still in bed for ``sleep_type`` during ``day_segment``.
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sumdurationtofallasleep minutes Time it took the user to fall asleep for ``sleep_type`` during ``day_segment``.
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sumdurationinbed minutes Time the user stayed in bed for ``sleep_type`` during ``day_segment``.
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sumdurationawake minutes Time the user was awake but still in bed for ``sleep_type`` during ``day_segment``.
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sumdurationasleep minutes Sleep duration for ``sleep_type`` during ``day_segment``.
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sumdurationafterwakeup minutes Time the user stayed in bed after waking up for ``sleep_type`` during ``day_segment``.
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sumdurationinbed minutes Total time the user stayed in bed (sumdurationtofallasleep + sumdurationawake + sumdurationasleep + sumdurationafterwakeup) for ``sleep_type`` during ``day_segment``.
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avgefficiency scores Sleep efficiency average for ``sleep_type`` during ``day_segment``.
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countepisode episodes Number of sleep episodes for ``sleep_type`` during ``day_segment``.
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======================== =========== =============
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