Affective computing conjoins the research topics of emotion recognition and sentiment
analysis, and can be realized with unimodal or multimodal data, consisting primarily of …

Robotic vision, otherwise known as computer vision for robots, is a critical process for robots
to collect and interpret detailed information related to human actions, goals, and …

In this letter, we address the problem of multi-cue affect recognition in challenging scenarios
such as child–robot interaction. Toward this goal we propose a method for automatic …

This study provides a systematic review of the recent advances in designing the intelligent
tutoring robot (ITR) and summarizes the status quo of applying artificial intelligence (AI) …

In this paper, we present an integrated robotic system capable of participating in and
performing a wide range of educational and entertainment tasks collaborating with one or …

In this work, we tackle the problem of child engagement estimation while children freely
interact with a robot in a friendly, room-like environment. We propose a deep learning-based …

Action recognition is an important component to improve autonomy of physical rehabilitation
devices, such as wearable robotic exoskeletons. Existing human action recognition …

Human attention is highly influenced by multi-modal combinations of perceived sensory
information and especially audiovisual information. Although systematic behavioral …

Activity recognition in children and infants is important in applications such as safety
monitoring, behavior assessment, and child-robot interaction, among others. However, it …

This article presents a people perception software architecture and its implementation,
focused on the information of interest from the point of view of a social robot. The key …