walking_shin_1

<p>Accelerations and angular velocities captured by sensors of the mobile device
situated on the shin of subject 1 while the subject was walking for 10
minutes</p>

datasets

Estimate the orientation of an inertial measurement unit
(IMU) with a 3-axis accelerometer and a 3-axis gyroscope using a
complementary filter. 'imuf' takes an IMU's accelerometer and gyroscope
readings, time duration, its initial orientation, and a gain factor as
inputs, and returns an estimate of the IMU's final orientation.

Felix Chan

imuf

Estimate Orientation of an Inertial Measurement Unit

Ricardo Cabello

walking_shin_1 function


<div class="section" id="walking-shin-">
<h3><code>walking_shin_1</code></h3><p></p><p>
</p><p>A data frame with 31,946 rows and 6 columns of accelerometer and gyroscope
measurements at 50 Hz</p><dl>
<dt>acc_x, acc_y, acc_z</dt>
<dd><p>north, east and down acceleration in m/s^2</p></dd><p></p><p><dt>gyr_x, gyr_y, gyr_z</dt>
<dd><p>angular velocity about north, east and down in rad/sec</p></dd></p><p>
</p></dl><p></p><p></p></div>


Format

University of Mannheim Real World Activities — walking_shin_1


<div class='section' id='walking-shin-'>
<h3><code>walking_shin_1</code></h3>


<p>A data frame with 31,946 rows and 6 columns of accelerometer and gyroscope
measurements at 50 Hz</p><dl>
<dt>acc_x, acc_y, acc_z</dt>
<dd><p>north, east and down acceleration in m/s^2</p></dd>

<dt>gyr_x, gyr_y, gyr_z</dt>
<dd><p>angular velocity about north, east and down in rad/sec</p></dd>


</dl>

</div>


walking_shin_1: University of Mannheim Real World Activities

Description

Usage

Arguments

Format

`walking_shin_1`