Profiling sprints using on-body sensors

Taherian, Salman; Pias, Marcelo; Harle, Robert; Coulouris, George; Hay, Simon I; Cameron, Jonathan; Lasenby, Joan; Kuntze, Gregor; Bezodis, Ian; Irwin, Gareth; Kerwin, David G.

doi:10.1109/percomw.2010.5470629

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…The strength of the present study is the usage of a very sophisticated HSC as gold standard, with a high frequency and high resolution (35). Moreover, the installation of the HSC at surface level allowed for untainted determination of exact ground contact.…”

Section: Resultsmentioning

confidence: 99%

Accuracy of PARTwear Inertial Sensor and Optojump Optical Measurement System for Measuring Ground Contact Time During Running

Ammann

Taube

Wyss

2016

Journal of Strength and Conditioning Research

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The aim of this study was to validate the detection of ground contact time (GCT) during running in two differently working systems: a small inertial measurement sensor, PARTwear (PW), worn on the shoe laces, and the optical measurement system, Optojump (OJ), placed on the track. Twelve well-trained subjects performed 12 runs each on an indoor track at speeds ranging from 3.0 -9.0 m·s-1. GCT of one step per run (total 144) was simultaneously obtained by the PW, the OJ, and a high-speed video camera (HSC), whereby the latter served as reference system. The sampling rate was 1,000 Hz for all methods. Compared to the HSC, the PW and the OJ systems underestimated GCT by -1.3 ±6.1% and -16.5 ±6.7% (p-values < .05), respectively. The intraclass correlation coefficients between PW and HSC and between OJ and HSC were .984 and .853 (p-values < .001), respectively. Despite the constant systematic underestimation of GCT, analyses indicated that PW successfully recorded GCT over a wide range of speeds. However, results showed only moderate validity for the OJ system, with increasing errors when speed decreased. In conclusion, the PW proved to be a highly useful and valid application, and its use can be recommended not only for laboratory settings but also for field applications. In contrast, data on GCT obtained by OJ during running must be treated with caution, specifically when running speed changes or when comparisons are made with GCT data collected by other measurement systems.

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Section: Resultsmentioning

confidence: 99%

Accuracy of PARTwear Inertial Sensor and Optojump Optical Measurement System for Measuring Ground Contact Time During Running

Ammann

Taube

Wyss

2016

Journal of Strength and Conditioning Research

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A Wearable Flexible Sensor Network Platform for the Analysis of Different Sport Movements

Schmidt

Wille

Rheinländer

et al. 2017

Advances in Human Factors in Wearable Technologies and Game Design

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Monitoring Kinematic Changes With Fatigue in Running Using Body-Worn Sensors

Strohrmann

Harms

Kappeler-Setz

et al. 2012

IEEE Trans. Inform. Technol. Biomed.

134

124

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In this paper, we investigate monitoring of kinematic changes evoked by fatigue in running using wearable technology. Movement data were recorded with ETHOS devices. ETHOS is the ETH Orientation Sensor, a customized inertial measurement unit for unconstrained monitoring of human movement. We perform two real-world experiments, in which 21 runners of different skill levels participated. The real-world experiments capture two exhausting 45-min runs: one on a treadmill and one on a conventional outdoor track. We describe and evaluate algorithms to extract kinematic parameters from the sensor data. We identified parameters that change with fatigue for all runners, ones that change for runners of distinct skill levels, and ones that are dependent on an individual's running technique. Overall, we found that observations from treadmill running are not always generalizable to outdoor running. We, thus, argue for using wearable technology to provide athletes and trainers with continuous, quantitative objective measurements of running technique. These could be used to further gain insight into the complex relationship of running kinematics, injury risk, fatigue, and running economy.

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Profiling sprints using on-body sensors

Cited by 3 publications

References 10 publications

Accuracy of PARTwear Inertial Sensor and Optojump Optical Measurement System for Measuring Ground Contact Time During Running

Accuracy of PARTwear Inertial Sensor and Optojump Optical Measurement System for Measuring Ground Contact Time During Running

A Wearable Flexible Sensor Network Platform for the Analysis of Different Sport Movements

Monitoring Kinematic Changes With Fatigue in Running Using Body-Worn Sensors

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