rapids/latest/features/fitbit-steps-intraday/index.html

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RAPIDS provider
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<div class="md-content">
<article class="md-content__inner md-typeset">
<a href="https://github.com/carissalow/rapids/edit/master/docs/features/fitbit-steps-intraday.md" title="Edit this page" class="md-content__button md-icon">
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<h1 id="fitbit-steps-intraday">Fitbit Steps Intraday<a class="headerlink" href="#fitbit-steps-intraday" title="Permanent link">&para;</a></h1>
<p>Sensor parameters description for <code>[FITBIT_STEPS_INTRADAY]</code>:</p>
<table>
<thead>
<tr>
<th>Key&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>[TABLE]</code></td>
<td>Database table name or file path where the steps intraday data is stored. The configuration keys in <a href="../../setup/configuration/#device-data-source-configuration">Device Data Source Configuration</a> control whether this parameter is interpreted as table or file.</td>
</tr>
</tbody>
</table>
<p>The format of the column(s) containing the Fitbit sensor data can be <code>JSON</code> or <code>PLAIN_TEXT</code>. The data in <code>JSON</code> format is obtained directly from the Fitbit API. We support <code>PLAIN_TEXT</code> in case you already parsed your data and don&rsquo;t have access to your participants&rsquo; Fitbit accounts anymore. If your data is in <code>JSON</code> format then summary and intraday data come packed together. </p>
<p>We provide examples of the input format that RAPIDS expects, note that both examples for <code>JSON</code> and <code>PLAIN_TEXT</code> are tabular and the actual format difference comes in the <code>fitbit_data</code> column (we truncate the <code>JSON</code> example for brevity).</p>
<details class="example"><summary>Example of the structure of source data</summary><div class="tabbed-set" data-tabs="1:2"><input checked="checked" id="__tabbed_1_1" name="__tabbed_1" type="radio" /><label for="__tabbed_1_1">JSON</label><div class="tabbed-content">
<table>
<thead>
<tr>
<th>device_id</th>
<th>fitbit_data</th>
</tr>
</thead>
<tbody>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-07&rdquo;,&rdquo;value&rdquo;:&rdquo;1775&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:5},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:3},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:0},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-08&rdquo;,&rdquo;value&rdquo;:&rdquo;3201&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:14},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:11},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:10},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>&ldquo;activities-steps&rdquo;:[{&ldquo;dateTime&rdquo;:&rdquo;2020-10-09&rdquo;,&rdquo;value&rdquo;:&rdquo;998&rdquo;}],&rdquo;activities-steps-intraday&rdquo;:{&ldquo;dataset&rdquo;:[{&ldquo;time&rdquo;:&rdquo;00:00:00&rdquo;,&rdquo;value&rdquo;:0},{&ldquo;time&rdquo;:&rdquo;00:01:00&rdquo;,&rdquo;value&rdquo;:0},{&ldquo;time&rdquo;:&rdquo;00:02:00&rdquo;,&rdquo;value&rdquo;:0},&hellip;],&rdquo;datasetInterval&rdquo;:1,&rdquo;datasetType&rdquo;:&rdquo;minute&rdquo;}}</td>
</tr>
</tbody>
</table>
</div>
<input id="__tabbed_1_2" name="__tabbed_1" type="radio" /><label for="__tabbed_1_2">PLAIN_TEXT</label><div class="tabbed-content">
<table>
<thead>
<tr>
<th>device_id</th>
<th>local_date_time</th>
<th>steps</th>
</tr>
</thead>
<tbody>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>2020-10-07 00:00:00</td>
<td>5</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>2020-10-07 00:01:00</td>
<td>3</td>
</tr>
<tr>
<td>a748ee1a-1d0b-4ae9-9074-279a2b6ba524</td>
<td>2020-10-07 00:02:00</td>
<td>0</td>
</tr>
</tbody>
</table>
</div>
</div>
</details>
<h2 id="rapids-provider">RAPIDS provider<a class="headerlink" href="#rapids-provider" title="Permanent link">&para;</a></h2>
<div class="admonition info">
<p class="admonition-title">Available time segments</p>
<ul>
<li>Available for all time segments</li>
</ul>
</div>
<div class="admonition info">
<p class="admonition-title">File Sequence</p>
<div class="highlight"><pre><span></span><code>- data/raw/<span class="o">{</span>pid<span class="o">}</span>/fitbit_steps_intraday_raw.csv
- data/raw/<span class="o">{</span>pid<span class="o">}</span>/fitbit_steps_intraday_parsed.csv
- data/raw/<span class="o">{</span>pid<span class="o">}</span>/fitbit_steps_intraday_parsed_with_datetime.csv
- data/interim/<span class="o">{</span>pid<span class="o">}</span>/fitbit_steps_intraday_features/fitbit_steps_intraday_<span class="o">{</span>language<span class="o">}</span>_<span class="o">{</span>provider_key<span class="o">}</span>.csv
- data/processed/features/<span class="o">{</span>pid<span class="o">}</span>/fitbit_steps_intraday.csv
</code></pre></div>
</div>
<p>Parameters description for <code>[FITBIT_STEPS_INTRADAY][PROVIDERS][RAPIDS]</code>:</p>
<table>
<thead>
<tr>
<th>Key&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>[COMPUTE]</code></td>
<td>Set to <code>True</code> to extract <code>FITBIT_STEPS_INTRADAY</code> features from the <code>RAPIDS</code> provider</td>
</tr>
<tr>
<td><code>[FEATURES]</code></td>
<td>Features to be computed from steps intraday data, see table below</td>
</tr>
<tr>
<td><code>[THRESHOLD_ACTIVE_BOUT]</code></td>
<td>Every minute with Fitbit steps data wil be labelled as <code>sedentary</code> if its step count is below this threshold, otherwise, <code>active</code>.</td>
</tr>
<tr>
<td><code>[INCLUDE_ZERO_STEP_ROWS]</code></td>
<td>Whether or not to include time segments with a 0 step count during the whole day.</td>
</tr>
</tbody>
</table>
<p>Features description for <code>[FITBIT_STEPS_INTRADAY][PROVIDERS][RAPIDS]</code>:</p>
<table>
<thead>
<tr>
<th>Feature</th>
<th>Units</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td>sumsteps</td>
<td>steps</td>
<td>The total step count during a time segment.</td>
</tr>
<tr>
<td>maxsteps</td>
<td>steps</td>
<td>The maximum step count during a time segment.</td>
</tr>
<tr>
<td>minsteps</td>
<td>steps</td>
<td>The minimum step count during a time segment.</td>
</tr>
<tr>
<td>avgsteps</td>
<td>steps</td>
<td>The average step count during a time segment.</td>
</tr>
<tr>
<td>stdsteps</td>
<td>steps</td>
<td>The standard deviation of step count during a time segment.</td>
</tr>
<tr>
<td>countepisodesedentarybout</td>
<td>bouts</td>
<td>Number of sedentary bouts during a time segment.</td>
</tr>
<tr>
<td>sumdurationsedentarybout</td>
<td>minutes</td>
<td>Total duration of all sedentary bouts during a time segment.</td>
</tr>
<tr>
<td>maxdurationsedentarybout</td>
<td>minutes</td>
<td>The maximum duration of any sedentary bout during a time segment.</td>
</tr>
<tr>
<td>mindurationsedentarybout</td>
<td>minutes</td>
<td>The minimum duration of any sedentary bout during a time segment.</td>
</tr>
<tr>
<td>avgdurationsedentarybout</td>
<td>minutes</td>
<td>The average duration of sedentary bouts during a time segment.</td>
</tr>
<tr>
<td>stddurationsedentarybout</td>
<td>minutes</td>
<td>The standard deviation of the duration of sedentary bouts during a time segment.</td>
</tr>
<tr>
<td>countepisodeactivebout</td>
<td>bouts</td>
<td>Number of active bouts during a time segment.</td>
</tr>
<tr>
<td>sumdurationactivebout</td>
<td>minutes</td>
<td>Total duration of all active bouts during a time segment.</td>
</tr>
<tr>
<td>maxdurationactivebout</td>
<td>minutes</td>
<td>The maximum duration of any active bout during a time segment.</td>
</tr>
<tr>
<td>mindurationactivebout</td>
<td>minutes</td>
<td>The minimum duration of any active bout during a time segment.</td>
</tr>
<tr>
<td>avgdurationactivebout</td>
<td>minutes</td>
<td>The average duration of active bouts during a time segment.</td>
</tr>
<tr>
<td>stddurationactivebout</td>
<td>minutes</td>
<td>The standard deviation of the duration of active bouts during a time segment.</td>
</tr>
</tbody>
</table>
<div class="admonition note">
<p class="admonition-title">Assumptions/Observations</p>
<ol>
<li><em>Active and sedentary bouts</em>. If the step count per minute is smaller than <code>THRESHOLD_ACTIVE_BOUT</code> (default value is 10), that minute is labelled as sedentary, otherwise, is labelled as active. Active and sedentary bouts are periods of consecutive minutes labelled as <code>active</code> or <code>sedentary</code>.</li>
</ol>
</div>
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