Automatic emotion recognition is a critical part of human-machine interactions. Reflection of
emotions and to develop its understanding is crucial to provide dealings across human …

This paper proposes a mathematical model for decomposing a range face image into four
basic components (named 'complement components') in conjunction with a simple approach …

The work solves the problem of increasing the efficiency and effectiveness of analytical audit
procedures by automating data comparison by neural network mapping. The object of the …

Internal affective states produce external manifestations such as facial expressions. In
humans, the Facial Action Coding System (FACS) is widely used to objectively quantify the …

The fastICA method is a popular dimension reduction technique used to reveal patterns in
data. Here we show both theoretically and in practice that the approximations used in …

The face is an intrinsic part of the human body that distinguishes individuals from large
groups of people. Thus, it has become the most commonly used and accepted biometric …

This book provides an integrated solution for security and safety in the home, covering both
assistance in health monitoring and safety from strangers/intruders who want to enter the …

We identify automated landmark salience assessment in indoor environments as a problem
related to pedestrian navigation systems that has not yet received much attention but is …

The kinship verification field attracted much attention in the few past years due to its capacity
to improve biometrics systems as a soft biometric for face verification (kinship traits) and an …

Convolutional neural networks (CNNs) require long-term iterations to get the optimal
solution, where convolution operation consumes a lot of time. In this work, Independent …