© 2019 ACM. In this paper, we have utilized the eye tracking technology to analyze and compare the behavior of autistic and normal developing children when they are trying to capture and locate human faces embedded in different stimuli. We have defined three areas of interest that reflect the position of human faces within the stimuli. Various metrics are used to analyze the difference in behavior between the two groups. The findings provide results to the non-typical ways in which autistic children identify human faces
© 2019, Springer Nature Switzerland AG. Human activity recognition (HAR) is a broad area of research...
Identifying early signs of autism has been a challenging problem in the medical field. Many research...
This study used eye-tracking to examine visual attention to faces and objects in adolescents with au...
© 2020 ACM. The paper discusses an eye tracking analysis study to let us understand the visual behav...
© 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. The paper prese...
This chapter discusses a promising computer-aided diagnosis system, devised by our research team, fo...
The ultimate goal of this chapter is to develop a computer-aided diagnostic system for the accurate ...
© 2015 a Pion publication. Encoding the internal features of unfamiliar faces poses a perceptual cha...
© 2015 IEEE. The increasing ease with which large data sets can be collected brings a concomitant ne...
© 1999-2012 IEEE. Facial landmark detection in the wild remains a challenging problem in computer vi...
Functional magnetic resonance imaging (MRI) is one of the most promising techniques in neuro-imaging...
© 2017 Elsevier Ltd Previous studies examining the investigative challenges and needs of Digital For...
© 2018, © 2018 Taylor & Francis. Objective: This study examined the efficacy of an inhibitory stim...
The main goal of this research is to investigate how people with different cultural background diffe...
© 2018 Taiwan Academic Network Management Committee. All Rights Reserved. Many of the modern Televis...
© 2019, Springer Nature Switzerland AG. Human activity recognition (HAR) is a broad area of research...
Identifying early signs of autism has been a challenging problem in the medical field. Many research...
This study used eye-tracking to examine visual attention to faces and objects in adolescents with au...
© 2020 ACM. The paper discusses an eye tracking analysis study to let us understand the visual behav...
© 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM. The paper prese...
This chapter discusses a promising computer-aided diagnosis system, devised by our research team, fo...
The ultimate goal of this chapter is to develop a computer-aided diagnostic system for the accurate ...
© 2015 a Pion publication. Encoding the internal features of unfamiliar faces poses a perceptual cha...
© 2015 IEEE. The increasing ease with which large data sets can be collected brings a concomitant ne...
© 1999-2012 IEEE. Facial landmark detection in the wild remains a challenging problem in computer vi...
Functional magnetic resonance imaging (MRI) is one of the most promising techniques in neuro-imaging...
© 2017 Elsevier Ltd Previous studies examining the investigative challenges and needs of Digital For...
© 2018, © 2018 Taylor & Francis. Objective: This study examined the efficacy of an inhibitory stim...
The main goal of this research is to investigate how people with different cultural background diffe...
© 2018 Taiwan Academic Network Management Committee. All Rights Reserved. Many of the modern Televis...
© 2019, Springer Nature Switzerland AG. Human activity recognition (HAR) is a broad area of research...
Identifying early signs of autism has been a challenging problem in the medical field. Many research...
This study used eye-tracking to examine visual attention to faces and objects in adolescents with au...