This example shows how to plot data from multiple sensors on an Android™ or iOS mobile device together in one timeline. Measurements of angular velocity and orientation will be collected from the device and plotted over absolute time. This will allow correlations between data from two sensors to be visualized based on the actual time of measurement.
In order to receive data from a mobile device in MATLAB®, you will need to install and set up the MATLAB Mobile™ app on your mobile device.
Log in to the MathWorks® Cloud from the MATLAB Mobile Settings.
On the Commands screen of MATLAB Mobile, use the
mobiledev command to create an object that represents your mobile device.
m = mobiledev;
The displayed output should show
Connected: 1, indicating that the
mobiledev object has successfully established a connection to the app.
Use the appropriate
mobiledev properties to enable sensors on the device.
m.AngularVelocitySensorEnabled = 1; m.OrientationSensorEnabled = 1;
After enabling the sensors, the Sensors screen of MATLAB Mobile will show the current data measured by the sensors. The
Logging property allows you to begin sending sensor data to
m.Logging = 1;
The device is now transmitting sensor data.
At the start of logging, the device is lying flat on a table with the screen facing up. The positive Y-axis of the angular velocity sensor is defined to extend out from the top of the device. Positive roll of the orientation sensor is defined as a clockwise rotation about the Y-axis when facing the positive direction of the axis.
During logging, the device is turned face-up and face-down a few times about its Y-axis. This generates Y-axis changes in angular velocity and roll changes in orientation.
Logging property is used again to have the device stop sending sensor data to
m.Logging = 0;
Each sensor's data can be accessed from the
mobiledev object. Two different timestamp variables are created because the angular velocity and orientation data may not be recorded by the device at the same time.
[av,tav] = angvellog(m); [o,to] = orientlog(m);
The data of interest from the sensors are isolated into separate variables and plotted.
yAngVel = av(:,2); roll = o(:,3); plot(tav,yAngVel,to,roll); legend('Y Angular Velocity','Roll'); xlabel('Relative time (s)');
The data is plotted in seconds relative to
InitialTimestamp property. This property provides the absolute time of the first data point recorded by a sensor and sent to MATLAB. It acts as the reference point for the timestamps of all sensor data accessed using functions such as
orientlog, which are given in seconds relative to
To convert all sensor timestamps into absolute timestamps, the
InitialTimestamp value is converted into a
datetime object. The individual sensor timestamps, which are in units of seconds, are converted into
seconds. This simplifies the date arithmetic of turning relative timestamps into absolute timestamps.
tInit = datetime(m.InitialTimestamp,'InputFormat','dd-MM-yyyy HH:mm:ss.SSS'); tAngVel = tInit + seconds(tav); tOrient = tInit + seconds(to);
Both sensors now have absolute timestamps represented using
datetime. This makes it easy to visualize the actual time that significant events occurred in sensor readings.
The orientation sensor uses units of degrees, while the angular velocity sensor uses units of radians per second. Before plotting again,
yAngVel is converted to degrees per second.
yAngVelDeg = yAngVel * 180/pi; plot(tAngVel,yAngVelDeg,tOrient,roll); legend('Y Angular Velocity','Roll'); xlabel('Absolute time (s)');
Turn off the enabled sensors and clear
m.AngularVelocitySensorEnabled = 0; m.OrientationSensorEnabled = 0; clear m;