Biometrics is the science and technology of measuring and analyzing biological data of human body for increasing systems security by providing accurate and reliable patterns and algorithms for person verification and identification and its solutions are widely used in governments, military and industries. Single source of information in biometric systems are called unimodal systems and are perfect but they often suffer from some problems when they face with noisy data such as: intraclass variations, restricted degrees of freedom, spoof attacks and non-universality. Several of these problems can be solved by using multimodal biometric systems that combine two or more biometric modalities. Various methods, fusion levels and integration strategies can be applied to combine information in multimodal systems.
Abstract:Over the last few years, deep artificial neural networks have gotten the most attention in computer science, especially in pattern recognition, machine vision and machine learning. One of its excellent applications is in the emotion recognition via facial expression area. Facial expression analysis is useful for many tasks and the application of deep learning in this area is also developing very fast. We review some recent research works in this domain, introduce some new applications and show the general steps to implementing each of them.
Abstract-Social robotics is related to the robotic systems and human interaction. Social robots have applications in elderly care, health care, home care, customer service and reception in industrial settings. Human-Robot Interaction (HRI) requires better understanding of human emotion.There are few multimodal fusion systems that integrate limited amount of facial expression, speech and gesture analysis. In this paper, we describe the implementation of a semantic algebra based formal model that integrates six basic facial expressions, speech phrases and gesture trajectories. The system is capable of real-time interaction. We used the decision level fusion approach for integration and the prototype system has been implemented using Matlab.
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