Carolina NeuLog Acceleration User Manual
Neulog acceleration sensor guide
NEULOG ACCELERATION SENSOR GUIDE
NeuLog acceleration sensor
NUL-227
The NeuLog acceleration sensor can be used for any science experiment or activity
which utilizes acceleration measurements such as in the fields of Physics, Mechanics,
Physiology, Exercise Science, etc.
The sensor comes pre-calibrated so you can start experimentation right out of the box
using any of the following guides.
Just a few of the thousands of possible experimental subjects that can be done with
the NUL-227 sensors are: gravitational force, impulse, exercise studies, human and
animal acceleration, and many more
The acceleration sensor uses the following units of measure:
Meters per second squared (m/s
2
): The SI unit of acceleration or change in
velocity over time.
Sensor orientation:
The NeuLog acceleration sensor has the ability to measure acceleration in three
different axes (X, Y, and Z). The figure below demonstrates the axes.
Note: You can also easily determine which axis is which by using this easy method:
First click on the sensor icon in the NeuLog software and select the axis you wish to
determine. Then change the physical orientation of the acceleration sensor until the
readout is roughly ± 9.8m/s
2
. When the sensor reads roughly ±9.8m/s
2
, draw an
imaginary line through the sensor towards the ground, either end of the imaginary line
(sky and ground) will be the poles of the axis in relation to the sensor you are trying to
determine.
To view all axes simultaneously:
After collecting data:
1.
Open the NeuLog software and connect the acceleration sensor using any
of the following guides.
2.
Once the sensor has been detected, click on “Offline Experiment”
3.
Click on the acceleration sensor icon on the left.
4.
Click on the “Range” button and select an axis (X, Y, or Z).
5.
Click “Load Experiment” located on the top of the screen.
6.
Select which experiment you would like to upload so that the button turns
green, the default is “Newest” (“Newest” will select the most recent data
collection)
7.
Click on “Load Experiments” which will load the data from your chosen axis
onto the graph.
8.
Resume from step 3 to load the other axes on the same graph.