Zobrazeno 1 - 10
of 351
pro vyhledávání: '"human movement analysis"'
Publikováno v:
Journal of Modern Science, Vol 57, Iss 3, Pp 823-838 (2024)
Human movement analysis is critical to optimizing sports training and influencing exercise intensity and effectiveness. In the age of modern technology, more and more advanced systems are emerging to support coaches and expand the range of analysis p
Externí odkaz:
https://doaj.org/article/df8f44afd8b243f3a71eea2814fca796
Autor:
Philipp Barzyk, Alina-Sophie Boden, Justin Howaldt, Jana Stürner, Philip Zimmermann, Daniel Seebacher, Joachim Liepert, Manuel Stein, Markus Gruber, Michael Schwenk
Publikováno v:
Sensors, Vol 24, Iss 23, p 7819 (2024)
Clinical gait analysis plays a central role in the rehabilitation of stroke patients. However, practical and technical challenges limit their use in clinical settings. This study aimed to validate SMARTGAIT, a deep learning-based gait analysis system
Externí odkaz:
https://doaj.org/article/65859bfac85a4865986e65ca5ab16e9e
Autor:
Silvia Santos-Cuadros, Álvaro Page del Pozo, Carolina Álvarez-Caldas, José Luis San Román García
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)
Analyzing human body movement is a critical aspect of biomechanical studies in road safety. While most studies have traditionally focused on assessing the head-neck system due to the restraint provided by seat belts, it is essential to examine the en
Externí odkaz:
https://doaj.org/article/f8cbbdf8afa74d0fb8ec207db7640361
Autor:
Dario Milone, Francesco Longo, Giovanni Merlino, Cristiano De Marchis, Giacomo Risitano, Luca D’Agati
Publikováno v:
Sensors, Vol 24, Iss 10, p 3022 (2024)
This study examined the efficacy of an optimized DeepLabCut (DLC) model in motion capture, with a particular focus on the sit-to-stand (STS) movement, which is crucial for assessing the functional capacity in elderly and postoperative patients. This
Externí odkaz:
https://doaj.org/article/706d40c15af54adf88c8b52c15c9cdbc
Autor:
Lisa Gutzeit, Frank Kirchner
Publikováno v:
IEEE Access, Vol 10, Pp 125723-125734 (2022)
During the last years, new approaches were proposed in which robotic behavior is generated by imitating human movement examples. This process can be sustainably simplified by an automatic detection of the movement sequences which should be imitated.
Externí odkaz:
https://doaj.org/article/30e8544b4c82481f990b61f06205009d
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Akademický článek
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Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 16, p 7277 (2023)
Integrated Ultra-wideband (UWB) and Magnetic Inertial Measurement Unit (MIMU) sensor systems have been gaining popularity for pedestrian tracking and indoor localization applications, mainly due to their complementary error characteristics that can b
Externí odkaz:
https://doaj.org/article/3bc6eac0cb1e4db3b5f4edbfc83bb786
Publikováno v:
IEEE Access, Vol 8, Pp 44576-44589 (2020)
Pedestrian trajectory prediction is fundamental to a wide range of scientific research work and industrial applications. Most of the current advanced trajectory prediction methods incorporate context information such as pedestrian neighbourhood, labe
Externí odkaz:
https://doaj.org/article/03cb37959ef443c4851e1cc55c90ef3c