Digital monitoring of physiological signals can allow computer systems to adapt
unobtrusively to users, so as to enhance personalised 'smart'interactions. In recent years …

Physiological computing represents a mode of human–computer interaction where the
computer monitors, analyzes and responds to the user's psychophysiological activity in real …

Autism Spectrum Disorder (ASD) is a highly prevalent neurodevelopmental disorder with
enormous individual and social cost. In this paper, a novel virtual reality (VR)-based driving …

To apply emotion recognition and classification technology to the field of human-robot
interaction, it is necessary to implement fast data processing and model weight reduction …

Physical therapy keeps exploiting more and more the capabilities of the robot of adapting
the treatments to patients' needs. This paper aims at presenting a psychophysiological …

Trust plays an essential role in all human relationships. However, measuring trust remains a
challenge for researchers exploring psychophysiological signals. Therefore, this article aims …

This paper presents a novel multimodal virtual rehabilitation environment. Its design and
implementation are based on principles related to intrinsic motivation and game design. The …

Background Selecting and maintaining an engaging and challenging training difficulty level
in robot-assisted stroke rehabilitation remains an open challenge. Despite the ability of …

Previous studies on robotic rehabilitation have shown that subjects' active participation and
effort involved in rehabilitation training can promote the performance of therapies. In order to …

Background The aging of the population and the progressive increase in life expectancy in
developed countries is leading to a high incidence of cerebrovascular diseases. Several …