This article presents an extensive literature review of technology based intervention
methodologies for individuals facing autism spectrum disorder (ASD). Reviewed …

The advancements in communication technologies and ubiquitous accessibility to a wide
array of services has opened many challenges. Growing numbers of cyberattacks show that …

As the principal processing method for nonverbal intentions, Facial Expression Recognition
(FER) is an important and promising topic of computer vision and artificial intelligence, as …

Automatic recognition of facial expressions is a challenging problem specially for low spatial
resolution facial images. It has many potential applications in human–computer interactions …

The Internet of Things (IoT) and network-enabled smart devices are crucial to the digitally
interconnected society of the present day. However, the increased reliance on IoT devices …

Driver fatigue is a major cause of traffic accidents. Automatic vision-based driver fatigue
recognition is one of the most prospective commercial applications based on facial …

The goal of the present study is to explore the application of deep convolutional network
features to emotion recognition. Results indicate that they perform similarly to other …

Facial expression can be seen as the dynamic variation of one's appearance over time.
Successful recognition thus involves finding representations of high-dimensional …

In this paper we are proposing a novel computer vision system that can recognize
expression of pain in videos by analyzing facial features. Usually pain is reported and …

Accurate recognition of facial expression is a challenging problem especially from multi-
scale and multi orientation face images. In this article, we propose a novel technique called …