In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive
cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users, which …

In line with a human-centric smart manufacturing vision, human-robot collaboration is
striving to combine robots' high efficiency and quality with humans' rapid adaptability and …

Recognizing human actions is crucial for an effective and safe collaboration between
humans and robots. For example, in a collaborative assembly task, human workers can use …

State-of-the-art deep learning-based Head Pose Estimation (HPE) techniques have reached
spectacular performance on High-Resolution (HR) face images. However, they still fail to …

This work proposes and compare two different approaches for real-time human action
recognition (HAR) from raw depth video sequences. Both proposals are based on the …

In human-robot collaborative (HRC) manufacturing systems, how the collaborative robots
engage in the collaborative tasks and complete the corresponding work in a timely manner …

One option for teaching a robot new skills is to use learning from demonstration techniques.
While traditional techniques often involve expensive sensors/equipment, advancements in …

Recent studies in social robotics show that it can provide economic efficiency and growth in
domains such as retail, entertainment, and active and assisted living (AAL). Recent work …

In this paper we introduce a novel method to estimate the head pose of people in single
images starting from a small set of head keypoints. To this purpose, we propose a …

A comprehensive and high-quality lexicon plays a crucial role in traditional text classification
approaches. It improves the utilization of linguistic knowledge. Although it is helpful for this …