Ahmed Abdelrahman

Otto-von-Guericke-Universität Magdeburg | OvGU · Neuro-Information Technology

Deception detection is a challenging and interdisciplinary field that has garnered the attention of researchers in psychology, criminology, computer science, and even economics. While automated deception detection presents more obstacles than traditional polygraph tests, it also offers opportunities for novel economic applications. In this study, w...

Deception detection is an interdisciplinary field attracting researchers from psychology, criminology, computer science, and economics. We propose a multimodal approach combining deep learning and discriminative models for automated deception detection. Using video modalities, we employ convolutional end-to-end learning to analyze gaze, head pose,...

Recently, face recognition became a key element in social cognition which is used in various applications including human–robot interaction (HRI), pedestrian identification, and surveillance systems. Deep convolutional neural networks (CNNs) have achieved notable progress in recognizing faces. However, achieving accurate and real-time face recognit...

Human gaze is a crucial cue used in various applications such as human-robot interaction and virtual reality. Recently, convolution neural network (CNN) approaches have made notable progress in predicting gaze direction. However, estimating gaze in-the-wild is still a challenging problem due to the uniqueness of eye appearance, lightning conditions...

In this paper, we present a method for unconstrained end-to-end head pose estimation. We address the problem of ambiguous rotation labels by introducing the rotation matrix formalism for our ground truth data and propose a continuous 6D rotation matrix representation for efficient and robust direct regression. This way, our method can learn the ful...

This paper presents an implementation of RoSA, a Robot System Assistant, for safe and intuitive human-machine interaction. The interaction modalities were chosen and previously reviewed using a Wizard of Oz study emphasizing a strong propensity for speech and pointing gestures. Based on these findings, we design and implement a new multi-modal syst...

The ability to measure the engagement level of humans interacting with robots paves the way towards intuitive and safe human-robot interaction. Recent approaches achieve reasonable progress in predicting human engagement in physically situated environments. However, engagement estimation is still a challenging problem especially in an open-world en...

The Advanced Encryption Standard (AES) is strongly used in different security levels of data communication as it has higher efficiency and stronger security compared with other encryption algorithms. Graphics Processing Unit (GPU) is one of the most important platforms used for enhancing AES algorithm Performance. Unfortunately, the AES actual thro...

The Advanced Encryption Standard (AES) is One of the most popular symmetric block cipher because it has better efficiency and security. The AES is computation intensive algorithm especially for massive transactions. The Graphics Processing Unit (GPU) is an amazing platform for accelerating AES. it has good parallel processing power. Traditional app...