Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Thomas Kautz"'
Publikováno v:
Sensors, Vol 22, Iss 21, p 8474 (2022)
With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every j
Externí odkaz:
https://doaj.org/article/296ea1ff81be483f83d6be05ebcc4f1f
Publikováno v:
Sensors, Vol 21, Iss 9, p 3214 (2021)
The detection and localization of the ball in sport videos is crucial to better understand events and actions occurring in those sports. Despite recent advances in the field of object detection, the automatic detection of balls remains a challenging
Externí odkaz:
https://doaj.org/article/b39ca1a18eea476b9849ab5bd80bdfc4
Autor:
Thomas Kautz, Bjoern M. Eskofier
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 4975-4995 (2015)
The Kalman filter (KF) is an extremely powerful and versatile tool for signal processing that has been applied extensively in various fields. We introduce a novel Kalman-based analysis procedure that encompasses robustness towards outliers, Kalman sm
Externí odkaz:
https://doaj.org/article/8f938ba30419475e8748f45ff4f927f3
Autor:
Christine F. Martindale, Martin Deininger, Bjoern M. Eskofier, Thomas Kautz, Frank Warschun, Benjamin H. Groh
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 1:1-17
Although ski jumping is a widely investigated sport, competitions and training sessions are rarely supported by state-of-the-art technology. Supporting technologies could focus on a continuous velocity determination and visualization for competitions
Publikováno v:
Pervasive and Mobile Computing. 40:42-55
The application of wearables and customized signal processing methods offers new opportunities for motion analysis and visualization in skateboarding. In this work, we propose an automatic trick analysis and visualization application based on inertia
Publikováno v:
Pattern Recognition. 68:111-125
Generic, compact and meaningful performance measure for arbitrary classifiers.Includes confidence indicators in interval [0; 1].Robust towards class imbalance, sensitive towards class separation.Demo implementation available. The evaluation of classi
Publikováno v:
Production Engineering. 11:307-313
The spring back on car body parts defines their dimensional accuracy. Throughout the production process in press shops the conformity with the geometrical specification is inspected by tactile or optical measuring devices offside the production line
Autor:
Bjoern M. Eskofier, Thomas Kautz, Julius Hannink, Benjamin H. Groh, Holger Strubberg, Ulf Jensen
Publikováno v:
Data Mining and Knowledge Discovery. 31:1678-1705
Many injuries in sports are caused by overuse. These injuries are a major cause for reduced performance of professional and non-professional beach volleyball players. Monitoring of player actions could help identifying and understanding risk factors
Autor:
Jochen Klucken, Thomas Kautz, Julius Hannink, Cristian Pasluosta, Karl-Günter Gaßmann, Bjoern M. Eskofier
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 21:85-93
Measurement of stride-related, biomechanical parameters is the common rationale for objective gait impairment scoring. State-of-the-art double integration approaches to extract these parameters from inertial sensor data are, however, limited in their
Autor:
Bjoern M. Eskofier, Thomas Kautz, Jens Barth, Karl-Gunter GaBmann, Cristian Pasluosta, Jochen Klucken, Samuel Schülein, Julius Hannink
Publikováno v:
IEEE journal of biomedical and health informatics. 22(2)
Objective : Accurate estimation of spatial gait characteristics is critical to assess motor impairments resulting from neurological or musculoskeletal disease. Currently, however, methodological constraints limit clinical applicability of state-of-th