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 …
Real-time human motion capture based on wearable inertial sensor networks
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 …
the human posture in 3-D space through multisensor data fusion. The available method for …
QoE analysis and resource allocation for wireless metaverse services
The seamless and ubiquitous wireless access is crucial to the immersive experiences in the
metaverse. Considering the limited communication and computing resources, how to …
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 …
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 …
identification of pathological motions or compensation strategies and the analysis of …
Efficient body motion quantification and similarity evaluation using 3-D joints skeleton coordinates
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 …
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
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 …
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 …
skeletal motion data obtained from a Kinect sensor in a motion-capture studio environment …
Wearable Sensors for Motion and Electrophysiological Signal Tracking in XR
Extended-reality (XR) technology is transforming digital interaction by blending virtual
elements with the physical world via portable devices. Accurate body movement recognition …
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 …
monitor the current health of the athletes, thereby providing some feedback on the quality of …