In this paper, a comparative experimental assessment of computer vision-based methods for
sign language recognition is conducted. By implementing the most recent deep neural …

The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its
significance in several applications that require human-computer interaction (HCI). The …

Motion capture (mocap) technology is an efficient method for digitizing art performances,
and is becoming increasingly popular in the preservation and dissemination of dance …

A novel framework, for real-time action detection, recognition and evaluation of motion
capture data, is presented in this paper. Pose and kinematics information is used for data …

We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of
human activities simultaneously captured by a professional marker-based MoCap, a …

Abstract Immersive learning in Virtual Reality (VR) environments is the developing trend for
future education systems including remote physical training. This paper presents “ImmerTai” …

We introduce a method for automated temporal segmentation of human motion data into
distinct actions and compositing motion primitives based on self-similar structures in the …

Folk dances often reflect the socio-cultural influences prevailing in different periods and
nations; each dance produces a meaning, a story with the help of music, costumes and …

Understanding the underlying semantics of performing arts like dance is a challenging task.
Analysis of dance is useful to preserve cultural heritage, make video recommendation …

This chapter reviews an example of preservation and gamification scenario applied to
traditional sports. In the first section, we describe a preservation technique to capture …