Unobtrusive and wearable landing momentum estimation in Ski jumping with inertial-magnetic sensors

Groh, Benjamin H.; Fritz, Julian; Deininger, Martin; Schwameder, Hermann; Eskofier, Bjoern M.

doi:10.1109/bsn.2018.8329669

Cited by 8 publications

(16 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method implemented for detecting the time points for take-off t TO and touch-down t TD is introduced in this section: Due to the change of the ground reaction forces, both take-off and touch-down phase show abrupt changes in acceleration, which is measured by the accelerometer. Previous studies on ski jumping take-off [25] and landing [26,27] also presented similar acceleration changing behavior in their measurement-based results. Therefore, we propose to determine t TO and t TD by detecting these abrupt changes in the accelerometer measurement.…”

Section: Fundingsupporting

confidence: 60%

“…Finally, the take-off time points t TO is determined as the earlier peak. As presented in [26,27], the actual touch-down point in the landing process is a short moment before the maximal ground reaction peak, approximately 0.05 s as we estimated. Therefore, the touch-down time points t TD is determined as 0.05 s before the later peak as: Figure A1.…”

Section: Conclusion and Discussionmentioning

confidence: 65%

See 1 more Smart Citation

Ski Jumping Trajectory Reconstruction Using Wearable Sensors via Extended Rauch-Tung-Striebel Smoother with State Constraints

Fang

Grüter

Piprek

et al. 2020

Sensors

View full text Add to dashboard Cite

To satisfy an increasing demand to reconstruct an athlete’s motion for performance analysis, this paper proposes a new method for reconstructing the position and velocity in the context of ski jumping trajectories. Therefore, state-of-the-art wearable sensors, including an inertial measurement unit, a magnetometer, and a GPS logger are used. The method employs an extended Rauch-Tung-Striebel smoother with state constraints to estimate state information offline from recorded raw measurements. In comparison to the classic inertial navigation system and GPS integration solution, the proposed method includes additional geometric shape information of the ski jumping hill, which are modeled as soft constraints and embedded into the estimation framework to improve the position and velocity estimation accuracy. Results for both simulated measurement data and real measurement data demonstrate the effectiveness of the proposed method. Moreover, a comparison between jump lengths obtained from the proposed method and video recordings shows the relative root-mean-square error of the reconstructed jump length is below 1.5 m depicting the accuracy of the algorithm.

show abstract

Section: Fundingsupporting

confidence: 60%

Section: Conclusion and Discussionmentioning

confidence: 65%

Ski Jumping Trajectory Reconstruction Using Wearable Sensors via Extended Rauch-Tung-Striebel Smoother with State Constraints

Fang

Grüter

Piprek

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…An IMMU (Inertial Magnetic Measurement Unit) sensor based landing momentum determination approach is presented in Ref. [31] for ski jumping. The sensors are attached to both skies.…”

Section: Performance Monitoring In Sportsmentioning

confidence: 99%

“…SVM classifier for step recognition [19] Grind tricks, Air tricks Preprocessing, threshold analysis for trick event detection, and classification of trick category using different types of classifiers [29] Canoe sprint phases Time series segmentation, feature extraction for describing motion phases, and SVM classification for motion phase [30] Different types of golf swing(straight, pull, push, Preprocessing by data augmentation, data shuffling, and data slice, draw, hook, fade, push-slice, pull-hook, etc.) standaridization followed by classification with customized deep CNNs [31] Landing momentum Preprocessing the data by a sensor calibration and alignment; Landing velocity calculation to measure the momentum of landing phase [32] Horse gaits (Walking, Rising trot) Sensor error calibration; Calibration of equestrian poster based on A-POS;…”

Section: Gether With Some Notesmentioning

confidence: 99%

See 1 more Smart Citation

Body sensor networks for monitoring performances in sports: A brief overview and some new thoughts

Sattar¹,

Azad²,

Sikder³

2019

AIR

View full text Add to dashboard Cite

This paper aims to review on body sensor networks (BSNs) for sports from performance monitoring point of view with some new thoughts. The focus of the paper is to show that wearable sensor is more efficient than cameras in measuring sport performance and thereby video data and video based systems can be replaced by wearable sensors. Here, the current state-of-the art in BSNs are mainly introduced relating to sports performance instead of physical activity and health/safety related issues for sports and to the best of our knowledge, this has not been done yet for different types of sports rather than a particular sport. Although the progress in BSN for sports performance is in early stage, the ultimate goal is to develop a complete training/match analysis tool using wearable sensors and various analyses techniques to monitor as well as improve performances in sports.

show abstract

Landing in Ski Jumping: A Review About its Biomechanics and the Connected Injuries

Bessone

Schwirtz

2021

J. of SCI. IN SPORT AND EXERCISE

View full text Add to dashboard Cite

The present review deals with the current scientific knowledge related with ski jump landing. A specific focus is given on the landing biomechanics, the methods utilized for its analysis and the injuries connected to the landing phase. Despite the demonstrated importance for the safety and the performance of ski jumpers, the landing and its preparation are rarely investigated. In this paper, after having firstly described the execution of landing and its preparation and the reason why is important to analyze it, an overview of the current status of the research related to the landing biomechanics is reported (kinetics, kinematics, electromyographic activation, aerodynamics, computer simulation). The third part describes the methods and technologies utilized in literature to analyze the landing and its preparation (video cameras, inertial sensors, force insoles, wind tunnel and computer simulation). After that, an overview of the injuries related to landing is reported. The final section proposes future research in the field of biomechanics of ski jump landing in different fields, such as computer simulations, kinematic analysis, equipment development and biomechanics of female athletes.

show abstract

Unobtrusive and wearable landing momentum estimation in Ski jumping with inertial-magnetic sensors

Cited by 8 publications

References 16 publications

Ski Jumping Trajectory Reconstruction Using Wearable Sensors via Extended Rauch-Tung-Striebel Smoother with State Constraints

Ski Jumping Trajectory Reconstruction Using Wearable Sensors via Extended Rauch-Tung-Striebel Smoother with State Constraints

Body sensor networks for monitoring performances in sports: A brief overview and some new thoughts

Landing in Ski Jumping: A Review About its Biomechanics and the Connected Injuries

Contact Info

Product

Resources

About