Data Rating untuk Digital Signage di Universitas Kristen Petra menggunakan Kinect

Ivan Wijaya(1*), Liliana -(2), Rolly Intan(3),

(1) Program Study Informatika
(2) Program Study Informatika
(3) Program Study Informatika
(*) Corresponding Author


Along with the growth of Technology, the usage of digital signage for a communication device is common in this digital world. And now Petra Christian University starting using digital signage that named DIVo. But for measuring this device are effective or not we need someone to count every person who pass by this device, and we need to count how many person who many readers who read DIVo as well. But for getting the data manually there will be many error. For example there will be human error that can make a mistake for counting how many person that passing by DIVo twice or even more, and we need many human resource to do this work because there are more than one DIVo in Petra Christian University.
So we need some device that can detect people who passing by DIVo, and can detect thre reader face, and all of that thing can be done by using Kinect. Kinect is a device that made by Microsoft for gaming console named Xbox, this device is a input unit for Xbox so player doesn’t need a controlling device at all just using their body for playing. And using skeletal tracking and Face tracking inside Kinect SDK, this application can count how many person that passing by DIVo, and count how many person that read the DIvo and count how long the reader read DIVo. And using this device we can overcome this problem if we counting traffic using manual method.


Kinect, Skeletal Tracking, Face Traking, Traffic Counting, Reader Counting

Full Text:



Cathuhe, David (2012). Programming with the Kinect for Windows Software Development Kit. United State of America

Fitzpatrick, Matthew dan Matthiopoulos, Nicolaus (2013). Real Time Person Tracking and Identification using the Kinect Sensor. United State of America

Kar, Abhishek (2013). Skeletal Tracking Using Microsoft Kinect. Kanpur

Webb, Jarrett. dan Ashley, James (2012). Beginning Kinect Programming with the Microsoft Kinect SDK . New York

Wyremblelski, Adam (2014). Detection of the Selected, Basic Emotion Based on Face Expression Using Kinect. Moszczak


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