Skeleton-based human action recognition has attracted considerable attention and
succeeded in computer vision. However, one of the main challenges for skeleton action …

Interacting with computer applications using actions that are designed by end users
themselves instead of pre-defined ones has advantages such as better memorability in …

In the field of human-robot interaction, action recognition is a challenging problem. In this
paper, a residual activation fish-shaped network is proposed for action recognition, which …

Human-Robot Interaction (HRI) is one of the directions that deserves to be studied, and it is
used in various fields (eg, emergency rescue, telemedicine, and astronaut assistance) …

In recent years, hand gesture recognition has played a crucial role in human-robot
interaction (HRI). This paper proposes a skeleton-based serial-parallel dynamic hand …

Gestures have long been recognized as an interaction technique that can provide a more
natural, creative, and intuitive way to communicate with computers. However, some existing …

Traditional gesture recognition methods always focus on hand contours or hand movement
track, and the extracted gesture features are often difficult to represent the difference …

Skeleton-based dynamic hand gesture recognition plays an increasing role in the human-
computer interaction field. It is well known that different skeleton representations will have a …

Various action recognition systems have been proposed, but most of them are not feasible to
be used in real-time applications. Skeleton-based action recognition has a low …

The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of
the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol …