Zobrazeno 1 - 10
of 276
pro vyhledávání: '"inertial motion capture"'
Publikováno v:
Open Research Europe, Vol 4 (2024)
In-field human motion capture (HMC) is drawing increasing attention due to the multitude of application areas. Plenty of research is currently invested in camera-based (markerless) HMC, with the advantage of no infrastructure being required on the bo
Externí odkaz:
https://doaj.org/article/d839aac90ff845ee9a3e6007ca8ab67d
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 31, Pp 2734-2746 (2023)
Anatomical landmark trajectories are commonly used to define joint coordinate systems in human kinematic analysis according to standards proposed by the International Society of Biomechanics (ISB). However, most inertial motion capture (IMC) studies
Externí odkaz:
https://doaj.org/article/0ba38f982a70484eb68565021125b238
Autor:
Maurice Mohr, Peter Federolf, Gert-Jan Pepping, Thorsten Stein, Steven van Andel, Gillian Weir
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2023)
Externí odkaz:
https://doaj.org/article/cecad0d575454a7baa687fcf1f255b39
Publikováno v:
Sensors, Vol 23, Iss 16, p 7053 (2023)
Joint angles of the lower extremities have been calculated using gyroscope and accelerometer measurements from inertial measurement units (IMUs) without sensor drift by leveraging kinematic constraints. However, it is unknown whether these methods ar
Externí odkaz:
https://doaj.org/article/0ff67723b3694892b429bbedd79ab508
Publikováno v:
Bioengineering, Vol 10, Iss 5, p 510 (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
Externí odkaz:
https://doaj.org/article/1f59c2197e3145e7a3396a400e3e85cd
Autor:
Ramona Nowara, Fabian Holzgreve, Rejane Golbach, Eileen M. Wanke, Christian Maurer-Grubinger, Christina Erbe, Doerthe Brueggmann, Albert Nienhaus, David A. Groneberg, Daniela Ohlendorf
Publikováno v:
Bioengineering, Vol 10, Iss 4, p 477 (2023)
Background: The Rapid Upper Limb Assessment (RULA) is used for the risk assessment of workplace-related activities. Thus far, the paper and pen method (RULA-PP) has been predominantly used for this purpose. In the present study, this method was compa
Externí odkaz:
https://doaj.org/article/08c75f5df2614c26bef4b3ea66503b3e
Autor:
Hammad Tanveer Butt, Bertram Taetz, Mathias Musahl, Maria A. Sanchez, Pramod Murthy, Didier Stricker
Publikováno v:
IEEE Access, Vol 9, Pp 36657-36673 (2021)
We propose a deep learning based framework that learns data-driven temporal priors to perform 3D human pose estimation from six body worn Magnetic Inertial Measurement units sensors. Our work estimates 3D human pose with associated uncertainty from s
Externí odkaz:
https://doaj.org/article/1b0d1b459b5348b285c9571cb078c77c
Autor:
Joana Santos, Ana Betty Abreu, Pedro Fonseca, Carlos Carvalhais, J. Santos Baptista, Rubim Santos, Mário Vaz
Publikováno v:
International Journal of Occupational and Environment Safety, Vol 4, Iss 2, Pp 1-11 (2020)
Automation of assembly work was originally developed to increase operation efficiency and to reduce workload. However, a considerable number of unanticipated ergonomic problems have been observed such as the interaction between humans and automated s
Externí odkaz:
https://doaj.org/article/9c9df9634af94fab8dc0bd9235d79e25
Publikováno v:
BioMedical Engineering OnLine, Vol 19, Iss 1, Pp 1-25 (2020)
Abstract Background Inertial measurement unit (IMU)-based motion capture systems are gaining popularity for gait analysis outside laboratories. It is important to determine the performance of such systems in specific patient populations. We aimed to
Externí odkaz:
https://doaj.org/article/56d6cd90e86a47d28d76d6188fb1ae43
Autor:
Fabian Holzgreve, Laura Fraeulin, Christian Maurer-Grubinger, Werner Betz, Christina Erbe, Tim Weis, Keno Janssen, Lisa Schulte, Amaya de Boer, Albert Nienhaus, David A. Groneberg, Daniela Ohlendorf
Publikováno v:
Sensors, Vol 22, Iss 20, p 8069 (2022)
Introduction: For dental professionals, musculoskeletal disorders (MSD) are common health hazards and resistance training programmes have been promising approaches in the quest for a reduction in the pain intensity of these professionals. Therefore,
Externí odkaz:
https://doaj.org/article/0dc20afefeb54c23ac81272cffc14f4b