Results 31 to 40 of about 3,662,643 (303)
bioRxiv, 2021 Markerless motion capture using deep learning approaches have potential to revolutionize the field of biomechanics by allowing researchers to collect data outside of the laboratory environment, yet there remain questions regarding the accuracy and ease ...
John F. Drazan +4 more
semanticscholar +1 more source
Sensors, 2018 Local frame alignment between an inertial measurement unit (IMU) system and an optical motion capture system (MCS) is necessary to combine the two systems for motion analysis and to validate the accuracy of IMU-based motion data by using references ...
Jung Keun Lee, Woo Chang Jung
doaj +1 more source
Computer Animation and Virtual Worlds, 2007 AbstractIn this paper a new and original technique to animate a crowd of human beings is presented. Following the success of data‐driven animation models (such as motion capture) in the context of articulated figures control, we propose to derivate a similar type of approach for crowd motions.
Courty, Nicolas, Corpetti, Thomas
openaire +3 more sources
Effect of Strapdown Integration Order and Sampling Rate on IMU-Based Attitude Estimation Accuracy
Sensors, 2018 This paper deals with the strapdown integration of attitude estimation Kalman filter (KF) based on inertial measurement unit (IMU) signals. In many low-cost wearable IMU applications, a first-order is selected for strapdown integration, which may degrade
Jung Keun Lee, Mi Jin Choi
doaj +1 more source
Quantifying Jump Height Using Markerless Motion Capture with a Single Smartphone
IEEE Open Journal of Engineering in Medicine and Biology, 2023 Goal: The countermovement jump (CMJ) is commonly used to measure lower-body explosive power. This study evaluates how accurately markerless motion capture (MMC) with a single smartphone can measure bilateral and unilateral CMJ jump height. Methods: First,
Timilehin B. Aderinola +4 more
doaj +1 more source
Validation of the Perception Neuron system for full-body motion capture
PLoS ONE, 2022 Recent advancements in Inertial Measurement Units (IMUs) offers the possibility of its use as a cost effective and portable alternative to traditional optoelectronic motion capture systems in analyzing biomechanical performance.
Corliss Zhi Yi Choo, J. Chow, J. Komar
semanticscholar +1 more source
Sensors, 2019 The external acceleration of a fast-moving body induces uncertainty in attitude determination based on inertial measurement unit (IMU) signals and thus, frequently degrades the determination accuracy.
Jung Keun Lee, Mi Jin Choi
doaj +1 more source
Absolute Reliability of Gait Parameters Acquired With Markerless Motion Capture in Living Domains
Frontiers in Human Neuroscience, 2022 Purpose: To examine the between-day absolute reliability of gait parameters acquired with Theia3D markerless motion capture for use in biomechanical and clinical settings.
S. Riazati +4 more
semanticscholar +1 more source
Sensor network oriented human motion capture via wearable intelligent system
International Journal of Intelligent Systems, 2021 Using inertial measurement units mounted on foot is a feasible approach to improve the positioning accuracy for the human motion capture system. This paper presents a lightweight and low cost wireless inertial motion capture system for the simultaneous ...
S. Qiu +6 more
semanticscholar +1 more source
Mocap Everyone Everywhere: Lightweight Motion Capture with Smartwatches and a Head-Mounted Camera [PDF]
Computer Vision and Pattern RecognitionWe present a lightweight and affordable motion capture method based on two smartwatches and a head-mounted camera. In contrast to the existing approaches that use six or more expert-level IMU devices, our approach is much more cost-effective and ...
Jiye Lee, Hanbyul Joo
semanticscholar +1 more source