Facial expressions are a significant part of non-verbal communication. Recognizing facial
expressions of people with neurological disorders is essential because these people may …

In marketing research, one of the most exciting, innovative, and promising trends is
quantification of customer interest. This paper presents a deep learning-based system for …

To improve the facial expression recognition accuracy in resource-constrained and real-time
application equipment such as mobile and embedded devices, a lightweight method for …

Prior work has shown that the order in which different components of the face are learned
using a sequential learner can play an important role in the performance of facial expression …

The development of face recognition improvements still lacks knowledge on what parts of
the face are important. In this article, the authors present face parts analysis to obtain …

This work aimed to find the most discriminative facial regions between the eyes and
eyebrows for periocular biometric features in a partial face recognition system. We propose …

Background/Purpose: Quantification of consumer interest is an interesting, innovative, and
promising trend in marketing research. For example, an approach for a salesperson is to …

We present an automated new approach for facial expression recognition of seven
emotions. Three types of texture features (HOG, D-SURF and LBP) from static images are …

A reliable method for the detection and tracking of facial landmarks in image sequences is
presented. Given a set of prespecified facial landmarks in a reference face image, a bank of …

Facial expression recognition has a crucial role in communication. Computerized facial
expression recognition systems have been developed for many purposes. People's faces …