Results 271 to 280 of about 930,742 (332)

RecovGait: Occluded Parkinson's Disease Gait Reconstruction Using Unscented Tracking with Gated Initialization Technique. [PDF]

Sensors (Basel)
Yeong CW, Connie T, Ong TS, Saedon NI, Al-Khatib A, Farfoura M.   +5 more
europepmc   +1 more source

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Real-Time Human Motion Capture Based on Wearable Inertial Sensor Networks

IEEE Internet of Things Journal, 2022
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 sensor fusion is usually aided by magnetometers to remove the drift error
Jie Li, Xiaofeng Liu, Zhelong Wang, Hongyu Zhao, Tingting Zhang, S. Qiu, Xu Zhou, Hui Cai, Rongrong Ni, A. Cangelosi   +9 more
semanticscholar   +1 more source

SportsCap: Monocular 3D Human Motion Capture and Fine-Grained Understanding in Challenging Sports Videos

International Journal of Computer Vision, 2021
Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose
Xin Chen, Anqi Pang, Wei Yang, Yuexin Ma, Lan Xu, Jingyi Yu   +5 more
semanticscholar   +1 more source

Video based human motion capture

1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451), 1999
Proposes a new approach to capture human motion in video. This approach does not aim at a given human motion mode, but instead analyzes large-scale motion from frame to frame in a complex variational background and sets up a 3D motion skeleton under perspective projection. This approach is composed of two steps.
null Xiaoming Liu, null Yueting Zhuang, null Yi Wu, null Yunhe Pan   +3 more
openaire   +1 more source

Ongoing human action recognition with motion capture

Pattern Recognition, 2014
Ongoing human action recognition is a challenging problem that has many applications, such as video surveillance, patient monitoring, human-computer interaction, etc. This paper presents a novel framework for recognizing streamed actions using Motion Capture (MoCap) data.
Barnachon, Mathieu, Bouakaz, Saida, Boufama, Boubakeur, Guillou, Erwan   +3 more
openaire   +2 more sources

MonoEye: Multimodal Human Motion Capture System Using A Single Ultra-Wide Fisheye Camera

ACM Symposium on User Interface Software and Technology, 2020
We present MonoEye, a multimodal human motion capture system using a single RGB camera with an ultra-wide fisheye lens, mounted on the user's chest. Existing optical motion capture systems use multiple cameras, which are synchronized and require camera ...
D. Hwang, Kohei Aso, Ye Yuan, Kris Kitani, H. Koike   +4 more
semanticscholar   +1 more source

Human Motion Capture Based on Kinect and IMUs and Its Application to Human-Robot Collaboration

International Conference on Advanced Robotics and Mechatronics, 2020
In this paper, a nonlinear optimization solver is proposed to establish the human upper body motion capture system, including the orientation of each bone joint and the global position of the hip bone.
Junhao Zhang, Peng Li, Tenghui Zhu, Wen-an Zhang, Steven Liu   +4 more
semanticscholar   +1 more source

Modeling of human motion through motion captured data

2008 International Symposium on Information Technology, 2008
In this project, types of human motion studied in kinematics field are walking and running. The area of interest of the analyzing is lower part of human body segment. A video camera with medium resolution and frame rate is used as an image device to capture the human motion.
R. Ahmad, M. B. Che Omar, M.S. Yaacob, M. Hussein, M. Z. Md Zain, M. Y. Abdullah   +5 more
openaire   +2 more sources

Toward Human Motion Digital Twin: A Motion Capture System for Human-Centric Applications

IEEE Transactions on Automation Science and Engineering
Following the rule of human-centricity, Human Motion Digital Twin (HMDT) attempts to apply human motion data to ensure the development and well-being of human beings.
Huiying Zhou, Longqiang Wang, Gaoyang Pang, H. Shen, Baicun Wang, Haiteng Wu, Geng Yang   +6 more
semanticscholar   +1 more source

Real-time human motion capturing system

IEEE International Conference on Image Processing 2005, 2005
This paper presents a real time vision-based human motion capturing and recognition system using two calibrated CCD cameras. We propose a simple but effective method to estimate the motion parameters (BAPs) of the human object by analyzing the vertical projection profile and the horizontal projection profile in each view to identify different arm and ...
null Bau-Cheng Shen, null Huang-Chia Shih, null Chung-Lin Huang   +2 more
openaire   +1 more source