Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019
The current state of computer vision methods applied to autism spectrum disorder (ASD)
research has not been well established. Increasing evidence suggests that computer vision …
research has not been well established. Increasing evidence suggests that computer vision …
Emotional expression in psychiatric conditions: New technology for clinicians
Aim Emotional expressions are one of the most widely studied topics in neuroscience, from
both clinical and non‐clinical perspectives. Atypical emotional expressions are seen in …
both clinical and non‐clinical perspectives. Atypical emotional expressions are seen in …
Personalized machine learning for robot perception of affect and engagement in autism therapy
Robots have the potential to facilitate future therapies for children on the autism spectrum.
However, existing robots are limited in their ability to automatically perceive and respond to …
However, existing robots are limited in their ability to automatically perceive and respond to …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
An image-based deep spectrum feature representation for the recognition of emotional speech
The outputs of the higher layers of deep pre-trained convolutional neural networks (CNNs)
have consistently been shown to provide a rich representation of an image for use in …
have consistently been shown to provide a rich representation of an image for use in …
CultureNet: a deep learning approach for engagement intensity estimation from face images of children with autism
Many children on autism spectrum have atypical behavioral expressions of engagement
compared to their neu-rotypical peers. In this paper, we investigate the performance of deep …
compared to their neu-rotypical peers. In this paper, we investigate the performance of deep …
A comprehensive analysis towards exploring the promises of AI-related approaches in autism research
Abstract Autism Spectrum Disorder (ASD) is a neurodevelopmental condition that presents
challenges in communication, social interaction, repetitive behaviour, and limited interests …
challenges in communication, social interaction, repetitive behaviour, and limited interests …
Social Robots: A Promising Tool to Support People with Autism. A Systematic Review of Recent Research and Critical Analysis from the Clinical Perspective
In the past decade, interdisciplinary research has revealed the potential benefits of using
social robots in the care of individuals with autism. There is a growing interest in integrating …
social robots in the care of individuals with autism. There is a growing interest in integrating …
[PDF][PDF] Adventitious respiratory classification using attentive residual neural networks
Z Yang, S Liu, M Song, E Parada-Cabaleiro… - 2020 - opus.bibliothek.uni-augsburg.de
Every year, respiratory diseases affect millions of people worldwide, becoming one of the
main causes of death in nowadays society. Currently, the COVID-19—known as a novel …
main causes of death in nowadays society. Currently, the COVID-19—known as a novel …
Exploring the potential of social robots for speech and language therapy: a review and analysis of interactive scenarios
The use of innovative technology in the field of Speech and Language Therapy (SLT) has
gained significant attention nowadays. Despite being a promising research area, Socially …
gained significant attention nowadays. Despite being a promising research area, Socially …