Abstract—The process of capturing digital images has greatly
evolved since the initial appearance of photography in general.
In recent years, this evolution has been greatly accelerated by
the development of high resolution and specialized digital
capture sensors which, in turn, has opened the door for
research to develop new products and algorithms allowing
imaging to be used as input for controlling different other
devices or robots. Still, for there to be a real mapping between a
digital image and physical word a lot of research has been done
in the field of algorithms and sensors, which have lately resulted
in the emergence of affordable and specialized devices on the
market like Microsoft Kinect or Motion Leap. Initially, the
Microsoft Kinect device was exclusively used for the gaming
industry, but later captured the attention of the research
community, who quickly noticed that the sensor could be used
as a very affordable alternative in the three-dimensional
mapping process of space. Soon, an SDK was developed by
PrimeSense (OpenNI), which allowed the sensor to be used for
any other purpose, not just in the field of games. One of these
opportunities is the use of the sensor in the field of image
analysis for which a product to capture the movement of a
human was developed and is presented in this paper along with
a proposal to use the capture mechanism to command and
control an industrial robotic arm.
Index Terms—Digital images, capture sensors, depth data,
Microsoft Kinect, robot arm.
I. Staretu and C. Moldovan are with the Transilvania University of
Brasov, Brasov, Romania and the Academy of Technical Sciences of
Romania, Bucharest, Romania (e-mail: istaretu@ yahoo.com,
mcatalin1983@yahoo.com).
[PDF]
Cite: Ionel Staretu and Catalin Moldovan, "Microsoft Kinect Sensor Used to Capture Data for
Robotics Applications," International Journal of Modeling and Optimization vol. 9, no. 1, pp. 41-45, 2019.
