Results 21 to 30 of about 18,090 (249)
Sensors, 2022 In biomechanics, estimating the relative position between two body segments using inertial and magnetic measurement units (IMMUs) is important in that it enables the capture of human motion in unconstrained environments.
Chang June Lee, Jung Keun Lee
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Sensors, 2023 The nine-axis inertial and measurement unit (IMU)-based three-dimensional (3D) orientation estimation is a fundamental part of inertial motion capture.
Ji Seok Choi, Jung Keun Lee
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Treadmill-to-Overground Mapping of Marker Trajectory for Treadmill-Based Continuous Gait Analysis
Sensors, 2021 A treadmill was used to perform continuous walking tests in a limited space that can be covered by marker-based optical motion capture systems. Most treadmill-based gait data are analyzed based on gait cycle percentage.
Woo Chang Jung, Jung Keun Lee
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Scientific Data, 2022 Measurement(s) Raw magnetic, angular rate, and acceleration signals from body motion • Full body kinematics Technology Type(s) Inertial Motion Capture • Inertial Motion Capture (Xsens MVN Awinda) Factor Type(s) Sex • Age • Body Mass • Body height Sample
Manuel Palermo +4 more
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EURASIP Journal on Advances in Signal Processing, 2021 Taking human movements has very good prospects of application in sports, animated projects, medicine and health and other areas. This article aims to study the human motion capture system in sports performances based on the Internet of Things technology ...
Wenfeng Xu
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Human Motion Capture Algorithm Based on Inertial Sensors [PDF]
Journal of Sensors, 2016 On the basis of inertial navigation, we conducted a comprehensive analysis of the human body kinematics principle. From the direction of two characteristic parameters, namely, displacement and movement angle, we calculated the attitude of a node during the human motion capture process by combining complementary and Kalman filters.
Peng-zhan Chen, Ye Kuang, Jie Li 0009
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Sensors, 2021 Background: This study investigates the dart-throwing motion (DTM) by comparing an inertial measurement unit-based system previously validated for basic motion tasks with an optoelectronic motion capture system.
Gabriella Fischer +3 more
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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
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DEVELOPMENT OF HUMAN INERTIAL MOTION CAPTURE SYSTEM [PDF]
Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, 2018 У роботі висвітлено основні етапи розробки інерціальної системи захоплення руху людини. У роботі розглянуто існуючі методи захоплення руху, що використовують різні фізичні принципи роботи. Зроблено аналіз існуючих інерціальних систем захоплення руху.
Litosh, Anton, Lakoza, Serhii
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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
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