Results 1 to 10 of about 16,572 (251)
Machine Learning for Optical Motion Capture-Driven Musculoskeletal Modelling from Inertial Motion Capture Data [PDF]
Bioengineering, 2023 Marker-based Optical Motion Capture (OMC) systems and associated musculoskeletal (MSK) modelling predictions offer non-invasively obtainable insights into muscle and joint loading at an in vivo level, aiding clinical decision-making. However, an OMC system is lab-based, expensive, and requires a line of sight.
Abhishek Dasgupta +2 more
exaly +7 more sources
Inertial Motion Capture-Based Whole-Body Inverse Dynamics [PDF]
Sensors, 2021 Inertial Motion Capture (IMC) systems enable in situ studies of human motion free of the severe constraints imposed by Optical Motion Capture systems. Inverse dynamics can use those motions to estimate forces and moments developing within muscles and joints. We developed an inverse dynamic whole-body model that eliminates the usage of force plates (FPs)
Juhyeong Ryu +2 more
exaly +8 more sources
Inertial Motion Capture Costume Design Study. [PDF]
Sensors (Basel), 2017 The paper describes a scalable, wearable multi-sensor system for motion capture based on inertial measurement units (IMUs). Such a unit is composed of accelerometer, gyroscope and magnetometer. The final quality of an obtained motion arises from all the individual parts of the described system. The proposed system is a sequence of the following stages:
Szczęsna A +10 more
europepmc +6 more sources
Sensor Fusion for Enhancing Motion Capture: Integrating Optical and Inertial Motion Capture Systems. [PDF]
Sensors (Basel)This research aimed to utilize a custom sensor fusion algorithm that combines Optical Motion Capture (OMC) and Inertial Motion Capture (IMC) measurements to combat the limitations of each. The goal was to demonstrate how IMC data can be integrated with OMC data, demonstrating capabilities for future gap-filling processes.
Hicks HN, Chen H, Harper SA.
europepmc +5 more sources
Inertial Motion Capture Costume
Procedia Technology, 2017 Abstract The need to measure human motion and to estimate its kinematic and dynamic parameters in a real time appears in many fields such as medicine, sport, art and entertainment. This publication describes, inexpensive and easy to customize for many applications, Inertial Motion Capture Costume.
Agnieszka Szczęsna +2 more
exaly +2 more sources
Inertial Motion Capture-Based Wearable Systems for Estimation of Joint Kinetics: A Systematic Review [PDF]
Sensors, 2022 Chang June Lee +2 more
exaly +2 more sources
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
openaire +1 more source
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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Human Motion Capture and Recognition Based on Sparse Inertial Sensor
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2023 The field of human motion capture technology represents an emergent and multifaceted domain that encapsulates various disciplines, including but not limited to computer graphics, ergonomics, and communication technology. A distinct network platform within its domain has been established to ensure the reliability and stability of data transmission ...
Huailiang Xia +5 more
openaire +1 more source
Towards Self-Calibrating Inertial Body Motion Capture
CoRR, 2016 9 pages, 6 figures, accepted to the 19th International Conference on Information ...
Bertram Taetz +2 more
openaire +3 more sources