scholarly journals Application of Inertial Motion Unit-Based Kinematics to Assess the Effect of Boot Modifications on Ski Jump Landings—A Methodological Study

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3805
Author(s):  
Nicolas Kurpiers ◽  
Nicola Petrone ◽  
Matej Supej ◽  
Anna Wisser ◽  
Jakob Hansen ◽  
...  
Keyword(s):  
Motion Capture ◽  
Methodological Approach ◽  
Inertial Motion ◽  
Winter Sports ◽  
Training Time ◽  
Video Recordings ◽  
Extended Training ◽  
Motion Unit ◽  
Full Body ◽  
Jump Landings

Biomechanical studies of winter sports are challenging due to environmental conditions which cannot be mimicked in a laboratory. In this study, a methodological approach was developed merging 2D video recordings with sensor-based motion capture to investigate ski jump landings. A reference measurement was carried out in a laboratory, and subsequently, the method was exemplified in a field study by assessing the effect of a ski boot modification on landing kinematics. Landings of four expert skiers were filmed under field conditions in the jump plane, and full body kinematics were measured with an inertial motion unit (IMU) -based motion capture suit. This exemplary study revealed that the combination of video and IMU data is viable. However, only one skier was able to make use of the added boot flexibility, likely due to an extended training time with the modified boot. In this case, maximum knee flexion changed by 36° and maximum ankle flexion by 13°, whereas the other three skiers changed only marginally. The results confirm that 2D video merged with IMU data are suitable for jump analyses in winter sports, and that the modified boot will allow for alterations in landing technique provided that enough time for training is given.

Some statistical and CI models to predict chaotic high-frequency financial data

2020 ◽  
Vol 39 (5) ◽  
pp. 6419-6430
Author(s):  
Dusan Marcek
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Methodological Approach ◽  
Back Propagation ◽  
Large Data ◽  
Series Data ◽  
Data Set ◽  
Training Time ◽  
Optimal Population ◽  
Forecast Time

To forecast time series data, two methodological frameworks of statistical and computational intelligence modelling are considered. The statistical methodological approach is based on the theory of invertible ARIMA (Auto-Regressive Integrated Moving Average) models with Maximum Likelihood (ML) estimating method. As a competitive tool to statistical forecasting models, we use the popular classic neural network (NN) of perceptron type. To train NN, the Back-Propagation (BP) algorithm and heuristics like genetic and micro-genetic algorithm (GA and MGA) are implemented on the large data set. A comparative analysis of selected learning methods is performed and evaluated. From performed experiments we find that the optimal population size will likely be 20 with the lowest training time from all NN trained by the evolutionary algorithms, while the prediction accuracy level is lesser, but still acceptable by managers.

scholarly journals Exploring Choreographers’ Conceptions of Motion Capture for Full Body Interaction

2011 ◽  
Author(s):  
Marco Gillies ◽  
Max Worgan ◽  
Hestia Peppe ◽  
Will Robinson ◽  
Nina Kov
Keyword(s):  
Motion Capture ◽  
Body Interaction ◽  
Full Body

scholarly journals The production of the professional master's degree in nursing of the Federal University of Santa Catarina, 2013-2016

2018 ◽  
Vol 71 (suppl 6) ◽  
pp. 2751-2757 ◽  
Author(s):  
Cláudio José de Souza ◽  
Zenith Rosa Silvino
Keyword(s):  
Data Collection ◽  
Nursing Care ◽  
Educational System ◽  
Care Management ◽  
Methodological Approach ◽  
Qualitative Approach ◽  
Master's Program ◽  
Santa Catarina ◽  
Training Time ◽  
The Public

ABSTRACT Objective: To summarize the production of the Professional Master's Program in Nursing Care Management of the Federal University of Santa Catarina, between 2013 and 2016. Method: electronic documental research. After data collection, we analyzed the numbers of defenses in relation to what was predicted by the respective public notices; as well as sex, training time and professional area of the authors; scenario, context and research line; general objective, analysis support model, methodological approach, instruments/techniques of data collection, and technique of analysis; and, finally, technological productions. Results: 57 dissertations were found and subjected to analysis. The highest number of defenses took place in 2016, in the public scenario, in a care context, with a qualitative approach and having assistance protocols as a final product. Conclusion: Although the country has weaknesses in its educational system, results of the post-graduate level stand out through the technological productions of professional master's studies in nursing.

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