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Monitoring weekly progress of front crawl swimmers using IMU-based performance evaluation goal metrics

Related publications (32)

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Nowadays inertial sensors are extensively used for gait analysis. They can be used to perform temporal event detection (i.e. step detection) and to estimate the orientation of the feet and other body segments to determine walking speed and distance. Usuall ...

EPFL2017

In this study the influence of tip leakage on the performance of a small-scale fan is evaluated through computational fluid dynamics. ANSYS CFX Release 18.1 is employed for the numerical simulations, the results are extracted, analyzed and compared to the ...

2017

Front-crawl stroke descriptors variability assessment for skill characterisation

Kamiar Aminian, Grégoire Millet, Farzin Dadashi

The goal of this article is to character ise front-crawl swimming skill based on variability pattern of technique descriptors. Nine national level and nine recreational swimmers performed three 300 m trials in a 50 m outdoor pool, at 70%, 80% and 90% of th ...

Taylor & Francis2016

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We evaluate the Brillouin frequency shift (BFS) determination error when using the Brillouin phase spectrum (BPS) instead of the Brillouin gain spectrum (BGS) in BOTDA setups. We compare the error obtained in the BFS determination in both cases, both with ...

Spie-Int Soc Optical Engineering2016

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Measurement of the energy expenditure is crucial to understand the biophysics of any kind of human locomotion. Despite the promising application of inertial measurement unit (IMU) for quantification of the energy expenditure during human on-land activities ...

Institute of Electrical and Electronics Engineers2014

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Dynamics is a central aspect of ski jumping, particularly during take-off and stable flight. Currently, measurement systems able to measure ski jumping dynamics (e.g., 3D cameras, force plates) are complex and only available in few research centres worldwi ...

Taylor & Francis2014

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The biomechanical analysis of swimming always faced impeding factors of measurement in the aquatic environment. Our current knowledge of swimming locomotion is very much owing to employing video cameras to capture the body kinematics. Nevertheless, the rec ...

2013

Automatic Front-Crawl Temporal Phase Detection Using Adaptive Filtering of Inertial Signals

Kamiar Aminian, Grégoire Millet, Farzin Dadashi, Florent Crettenand

This study introduces a novel approach for automatic temporal phase detection and inter-arm coordination estimation in front-crawl swimming using inertial measurement units (IMUs). We examined the validity of our method by comparison against a video-based ...

Taylor & Francis2013

A Hidden Markov Model of the Breaststroke Swimming Temporal Phases Using Wearable Inertial Measurement Units

Kamiar Aminian, Arash Arami, Grégoire Millet, Farzin Dadashi, Florent Crettenand

The recent advances in wearable inertial sensors opened a new horizon for pervasive measurement of human locomotion even in aquatic environment. In this paper we proposed an automatic approach of detecting the key temporal events of breaststroke swimming a ...

IEEE2013

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Ieee2013