The Department of Communications Engineering organizes a scientific symposium on the deception detection system based on multi-feature extraction techniques 

As part of the activities of the second cultural season, the Department of Communications Engineering at the University of Technology held a scientific symposium on (deception detection system based on multi-feature extraction techniques) delivered by the lecturer, Prof. Dr. Shaima Hamid Abd, moderated by Dr. Hussam Hussein, head of the scientific and cultural relations division, in the presence of Prof. Dr. Afaneen and the Lecturer & staff of the department.

The symposium aimed to introduce the three features of deception detection or non-verbal signals, which are facial expressions, head movements, and eye gaze. This system is tested based on a set of data that has been collected, where the data was collected through video recordings from the Faculty of Medicine at the university. Al-Mustansiriya and Ibn Sina University for Medical and Pharmaceutical Sciences for 102 people, 25 of them are females and 77 are males, between the ages of 18-55 years.

The symposium included an introduction to how to process the recorded video clips and convert them into small video clips, which numbered 888 clips, which is considered the largest database collected for the Iraqi people for the purpose of detecting deception.

It should be noted that six types of classifiers were used in this work, including decision classifiers, as the classifier with the highest accuracy was implemented in several ways on a Spartan-3A 700A (FPGA) device.