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 …

Stress detector classifies a stressed individual from a normal one by acquiring his/her
physiological signals through appropriate sensors such as Electrocardiogram (ECG) …

Abstract Long Short-Term Memory (LSTM) networks have been successfully applied to a
number of sequence learning problems but they lack the design flexibility to model multiple …

One of the known challenges in Children–Robot Interaction (cHRI) is to sustain children's
engagement during long-term interactions with robots. Researchers have hypothesized that …

Attention Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD) are
neurodevelopmental conditions which impact on a significant number of children and adults …

Emotion is an intense mental experience often manifested by rapid heartbeat, breathing,
sweating, and facial expressions. Emotion recognition from these physiological signals is a …

Virtual reality (VR) is increasingly used as a social platform for users to interact and build
connections with one another in an immersive virtual environment. Reflecting on the …

Estimating the momentary level of participant's engagement is an important prerequisite for
assistive systems that support human interactions. Previous work has addressed this task in …

Automatic analysis of human behaviour is a fundamental prerequisite for the creation of
machines that can effectively interact with-and support humans in social interactions. In …

Social engagement is a key indicator of an individual's socio-emotional and cognitive states.
For a child with Autism Spectrum Disorder (ASD), this serves as an important factor in …