All one needs to know about metaverse: A complete survey on technological singularity, virtual ecosystem, and research agenda
Since the popularisation of the Internet in the 1990s, the cyberspace has kept evolving. We
have created various computer-mediated virtual environments, including social networks …
have created various computer-mediated virtual environments, including social networks …
A SWOT analysis of portable and low-cost markerless motion capture systems to assess lower-limb musculoskeletal kinematics in sport
C Armitano-Lago, D Willoughby… - Frontiers in Sports and …, 2022 - frontiersin.org
Markerless motion capture systems are promising for the assessment of movement in more
real world research and clinical settings. While the technology has come a long way in the …
real world research and clinical settings. While the technology has come a long way in the …
Multiple Kinect based system to monitor and analyze key performance indicators of physical training
K Ryselis, T Petkus, T Blažauskas… - … -Centric Computing and …, 2020 - Springer
Using a single Kinect device for human skeleton tracking and motion tracking lacks of
reliability required in sports medicine and rehabilitation domains. Human joints …
reliability required in sports medicine and rehabilitation domains. Human joints …
Markerless 3d skeleton tracking algorithm by merging multiple inaccurate skeleton data from multiple rgb-d sensors
Skeleton data, which is often used in the HCI field, is a data structure that can efficiently
express human poses and gestures because it consists of 3D positions of joints. The …
express human poses and gestures because it consists of 3D positions of joints. The …
Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis
Human motion tracking is a valuable task for many medical applications. Marker-based
optoelectronic systems are considered the gold standard in human motion tracking …
optoelectronic systems are considered the gold standard in human motion tracking …
Deep neural networks for human pose estimation from a very low resolution depth image
P Szczuko - Multimedia Tools and Applications, 2019 - Springer
The work presented in the paper is dedicated to determining and evaluating the most
efficient neural network architecture applied as a multiple regression network localizing …
efficient neural network architecture applied as a multiple regression network localizing …
Human tracking from single RGB-D camera using online learning
Human detection and tracking is an essential component in several robotics applications,
especially in indoor built environments where humans and robots are expected to coexist or …
especially in indoor built environments where humans and robots are expected to coexist or …
Cloud—based multiple importance sampling algorithm with AI based CNN classifier for secure infrastructure
R Dhaya, R Kanthavel - Automated Software Engineering, 2021 - Springer
Enhancing Security infrastructure in the cloud data center has been a typical task that
includes tracking human motion and their body parts under dynamic environment has been …
includes tracking human motion and their body parts under dynamic environment has been …
Multiview 3D human pose estimation using improved least-squares and LSTM networks
In this paper we present a deep learning based method to estimate the human pose in 3D
when multiple 2D views are available. Our system is composed of a cascade of specialized …
when multiple 2D views are available. Our system is composed of a cascade of specialized …
Proposing a new feature descriptor for moving object detection
D Giveki, MA Soltanshahi, M Yousefvand - Optik, 2020 - Elsevier
Segmenting moving objects from various video streams especially in the presence of
complex dynamic backgrounds is one of the most pivotal and fundamental tasks in computer …
complex dynamic backgrounds is one of the most pivotal and fundamental tasks in computer …