Action recognition is a major branch of computer vision research. As a widely used
technology, action recognition has been applied to human–computer interaction, intelligent …

Robots are expanding from industrial applications to daily life, in areas such as medical
robotics, rehabilitative robotics, social robotics, and mobile/aerial robotics systems. In recent …

Human action recognition has been applied in many fields, such as video surveillance and
human computer interaction, where it helps to improve performance. Numerous reviews of …

Artificial intelligence (AI) is expected to be embodied in software agents, robots, and cyber-
physical systems that can understand the various contextual information of daily life in the …

With the advancement of computer vision, human action recognition (HAR) has shown its
broad research worth and application prospects in a wide range of fields such as intelligent …

This paper presents a design that jointly provides hand pose sensing, hand localization, and
haptic feedback to facilitate real-time stable grasps in Virtual Reality (VR). The design is …

Research on Human-Robot Interaction (HRI) requires the substantial consideration of an
experimental design, as well as a significant amount of time to practice the subject …

GCN-based methods have achieved remarkable performance in skeleton-based action
recognition. However, existing methods have not explicitly attempted to remove temporal …

Automated planning enables robots to find plans to achieve complex, long-horizon tasks,
given a planning domain. This planning domain consists of a list of actions, with their …

Hand action recognition is a special case of action recognition with applications in human-
robot interaction, virtual reality or life-logging systems. Building action classifiers able to …