Results 1 to 10 of about 644,825 (278)

Wearable interactive full-body motion tracking and haptic feedback network systems with deep learning [PDF]

Nature Communications
The increasing demand for motion tracking systems has been accelerated by advancements in virtual reality (VR) and motion reconstruction technologies.
Sang Uk Park, Hee Kyu Lee, Hyun Bin Kim, Doyoung Kim, Wooseok Kim, Janghoon Joo, Bogeun Kim, Byeong Woon Lee, Yei Hwan Jung, Sungjun Park, Il Yong Chun, Hyoyoung Jeong, Joohoon Kang, Jae-Young Yoo, Sang Min Won   +14 more
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A phantom-based analysis for tracking intra-fraction pancreatic tumor motion by ultrasound imaging during radiation therapy

Frontiers in Oncology, 2022
PurposeIn this study, we aim to further evaluate the accuracy of ultrasound tracking for intra-fraction pancreatic tumor motion during radiotherapy by a phantom-based study.MethodsTwelve patients with pancreatic cancer who were treated with stereotactic ...
Tianlong Ji, Tianlong Ji, Ziwei Feng, Ziwei Feng, Edward Sun, Sook Kien Ng, Lin Su, Yin Zhang, Dong Han, Sarah Han-Oh, Iulian Iordachita, Junghoon Lee, Peter Kazanzides, Muyinatu A. Lediju Bell, John Wong, Kai Ding   +15 more
doaj   +1 more source

Human Motion Tracking Using 3D Image Features with a Long Short-Term Memory Mechanism Model—An Example of Forward Reaching

Sensors, 2021
Human motion tracking is widely applied to rehabilitation tasks, and inertial measurement unit (IMU) sensors are a well-known approach for recording motion behavior.
Kai-Yu Chen, Li-Wei Chou, Hui-Min Lee, Shuenn-Tsong Young, Cheng-Hung Lin, Yi-Shu Zhou, Shih-Tsang Tang, Ying-Hui Lai   +7 more
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Development of a Real-Time 6-DOF Motion-Tracking System for Robotic Computer-Assisted Implant Surgery

Sensors, 2023
In this paper, we investigate a motion-tracking system for robotic computer-assisted implant surgery. Failure of the accurate implant positioning may result in significant problems, thus an accurate real-time motion-tracking system is crucial for ...
Minki Sin, Jang Ho Cho, Hyukjin Lee, Kiyoung Kim, Hyun Soo Woo, Ji-Man Park   +5 more
doaj   +1 more source

How Fast Is Your Body Motion? Determining a Sufficient Frame Rate for an Optical Motion Tracking System Using Passive Markers. [PDF]

PLoS ONE, 2016
This paper addresses how to determine a sufficient frame (sampling) rate for an optical motion tracking system using passive reflective markers. When using passive markers for the optical motion tracking, avoiding identity confusion between the markers ...
Min-Ho Song, Rolf Inge Godøy
doaj   +1 more source

Motion Tracker Beta: A GUI based open-source motion tracking application

SoftwareX, 2023
Motion tracking is a widely used image processing technique, where the goal is to follow and register the movement of specified objects over time, from video recordings. Thanks to the development of optical devices and tracking algorithms, the popularity
Kristóf Floch, Attila Kossa
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Real-Time Optical Mapping of Contracting Cardiac Tissues With GPU-Accelerated Numerical Motion Tracking

Frontiers in Cardiovascular Medicine, 2022
Optical mapping of action potentials or calcium transients in contracting cardiac tissues are challenging because of the severe sensitivity of the measurements to motion.
Jan Lebert, Jan Lebert, Namita Ravi, Namita Ravi, George Kensah, George Kensah, Jan Christoph, Jan Christoph   +7 more
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Visual Tracking Under Motion Blur [PDF]

IEEE Transactions on Image Processing, 2016
Most existing tracking algorithms do not explicitly consider the motion blur contained in video sequences, which degrades their performance in real-world applications where motion blur often occurs. In this paper, we propose to solve the motion blur problem in visual tracking in a unified framework. Specifically, a joint blur state estimation and multi-
Bo Ma, Lianghua Huang, Jianbing Shen, Ling Shao, Ming-Hsuan Yang, Fatih Porikli   +5 more
openaire   +4 more sources

Towards Robust and Accurate Single-View Fast Human Motion Capture

IEEE Access, 2019
This paper proposes a new method for fast human motion capture based on a single RGB-D sensor. By leveraging the human pose detection results for reinitializing the ICP-based sequential human motion tracking algorithm when tracking failure happens, our ...
Tao Yu, Jianhui Zhao, Yuanhao Huang, Yipeng Li, Yebin Liu   +4 more
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Deep learning based markerless motion tracking as a clinical tool for movement disorders: Utility, feasibility and early experience

Frontiers in Signal Processing, 2022
Clinical assessments of movement disorders currently rely on the administration of rating scales, which, while clinimetrically validated and reliable, depend on clinicians’ subjective analyses, resulting in interrater differences.
Rex N. Tien, Anand Tekriwal, Anand Tekriwal, Anand Tekriwal, Anand Tekriwal, Dylan J. Calame, Dylan J. Calame, Dylan J. Calame, Jonathan P. Platt, Sunderland Baker, Lauren C. Seeberger, Drew S. Kern, Abigail L. Person, Steven G. Ojemann, John A. Thompson, John A. Thompson, John A. Thompson, Daniel R. Kramer   +17 more
doaj   +1 more source