This project was designed to create a program that can read data that has been captured from a Kinect camera into an excel worksheet. Then from the excel worksheet, display a linear graph that represents the distance from the camera the user’s head was located. This can be used to closely look over if an individual was the correct distance from the iris camera. This is important when trying to determine the cause of a unsuccessful capture of the iris, because you can determine if it was a human error rather than a device error.

1. DETECTING THE HUMAN BIOMETRIC SENSOR INTERACTION WITH MICROSOFT KINECT
This project was designed to create a program that can read data that has been captured from a Kinect camera into an excel worksheet.
Then from the excel worksheet, display a linear graph that represents the distance from the camera the user’s head was located. This
can be used to closely look over if an individual was the correct distance from the iris camera. This is important when trying to determine
the cause of a unsuccessful capture of the iris, because you can determine if it was a human error rather than a device error.
Robert Moore, Hongming Cui, Michael Brockly, Stephen Elliott
Overview
The image to the left is of
the iris camera being
used during the test. A
person using this would
be standing about the
same location at which
this picture was taken.
The Kinect camera is
located behind the
individual during this
capture process
This box represent the optimal area to
be standing when using the iris
camera. The red line represents the
farthest you should be when using the
camera and the green line represents
the closest you should be.
The image above shows the Kinect
camera circled in black as well as the red
square in which a person would stand
during the test.
This image shows an area being selected for
zoom. The selected area is represented as the
gray box near the center of the image. This is
selected by holding left click on the graph then
dragging the mouse either right or left.
The excel data above shows a subjects positioning 3 dimensionally
that was captured from the Kinect camera. For this project we used
column A (Timestamp) and P (Head Z) to create the image to the right
which is what the program draws using the Head Z position for the Y-
axis and timestamp for the X-axis. The output is shown here.
The image shows each interaction that occurred
in the total transaction.
This last image represents what is displayed
after selecting an area and releasing left click.
Being able to zoom in on these sections will
allow for a deeper understanding of HBSI
interactions.
The three images below give an example of the zooming process from left to right.