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 …

Real-time human motion capture based on wearable inertial sensor networks

J Li, X Liu, Z Wang, H Zhao, T Zhang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Wearable inertial motion capture, a new type of motion capture technology, mainly estimates
the human posture in 3-D space through multisensor data fusion. The available method for …

QoE analysis and resource allocation for wireless metaverse services

Y Jiang, J Kang, X Ge, D Niyato… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The seamless and ubiquitous wireless access is crucial to the immersive experiences in the
metaverse. Considering the limited communication and computing resources, how to …

Real-time motion capture: An overview

X Zhu, KF Li - 2016 10th International Conference on Complex …, 2016 - ieeexplore.ieee.org
Many emerging motion-related applications, such as virtual reality, decision making, and
health monitoring, demand reliability and quick response upon input changes. Motion …

Kinematic and kinetic validation of an improved depth camera motion assessment system using rigid bodies

RP Matthew, S Seko, R Bajcsy… - IEEE journal of biomedical …, 2018 - ieeexplore.ieee.org
The study of joint kinematics and dynamics has broad clinical applications, including the
identification of pathological motions or compensation strategies and the analysis of …

Efficient body motion quantification and similarity evaluation using 3-D joints skeleton coordinates

K Aouaidjia, B Sheng, P Li, J Kim… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Evaluating whole-body motion is challenging because of the articulated nature of the
skeleton structure. Each joint moves in an unpredictable way with uncountable possibilities …

Collison avoidance using point cloud data fusion from multiple depth sensors: a practical approach

M Melchiorre, LS Scimmi, SP Pastorelli… - 2019 23rd …, 2019 - ieeexplore.ieee.org
This paper presents a collision avoidance system based on vision sensors that is suitable for
collaborative robotics scenarios. In fact, collaborative robotics foresees the possibility that …

Classification of K-Pop dance movements based on skeleton information obtained by a kinect sensor

D Kim, DH Kim, KC Kwak - Sensors, 2017 - mdpi.com
This paper suggests a method of classifying Korean pop (K-pop) dances based on human
skeletal motion data obtained from a Kinect sensor in a motion-capture studio environment …

Wearable Sensors for Motion and Electrophysiological Signal Tracking in XR

Y Qiu, X He, Z Li, Z Peng, Y Huang, X Yu - Korean Journal of Chemical …, 2024 - Springer
Extended-reality (XR) technology is transforming digital interaction by blending virtual
elements with the physical world via portable devices. Accurate body movement recognition …

Target recognition of sport athletes based on deep learning and convolutional neural network

Y Liu, Y Ji - Journal of Intelligent & Fuzzy Systems, 2021 - content.iospress.com
The main purpose of the various methods of evaluating athlete feature recognition is to
monitor the current health of the athletes, thereby providing some feedback on the quality of …