A comprehensive study on deep learning-based methods for sign language recognition
N Adaloglou, T Chatzis, I Papastratis… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
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 …
sign language recognition is conducted. By implementing the most recent deep neural …
[HTML][HTML] A comprehensive study on deep learning-based 3D hand pose estimation methods
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 …
significance in several applications that require human-computer interaction (HCI). The …
Folk dance evaluation using laban movement analysis
Motion capture (mocap) technology is an efficient method for digitizing art performances,
and is becoming increasingly popular in the preservation and dissemination of dance …
and is becoming increasingly popular in the preservation and dissemination of dance …
Motion analysis: Action detection, recognition and evaluation based on motion capture data
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 …
capture data, is presented in this paper. Pose and kinematics information is used for data …
Human4d: A human-centric multimodal dataset for motions and immersive media
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 …
human activities simultaneously captured by a professional marker-based MoCap, a …
ImmerTai: Immersive motion learning in VR environments
Abstract Immersive learning in Virtual Reality (VR) environments is the developing trend for
future education systems including remote physical training. This paper presents “ImmerTai” …
future education systems including remote physical training. This paper presents “ImmerTai” …
Efficient unsupervised temporal segmentation of motion data
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 …
distinct actions and compositing motion primitives based on self-similar structures in the …
Digital dance ethnography: Organizing large dance collections
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 …
nations; each dance produces a meaning, a story with the help of music, costumes and …
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approaches
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 …
Analysis of dance is useful to preserve cultural heritage, make video recommendation …
Preservation and gamification of traditional sports
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 …
traditional sports. In the first section, we describe a preservation technique to capture …