Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports

Duffield, Rob; Reid, Machar; Baker, John; Spratford, Wayne

doi:10.1016/j.jsams.2009.07.003

Cited by 197 publications

(181 citation statements)

References 5 publications

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“…Furthermore, the analysis of sprinting using NdGPS must be made with caution due to the reported accuracy of NdGPS during high-intensity activity (Duffield et al, 2009). …”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have reported that the reliability of NdGPS is compromised during high-intensity activity using a sample frequency of 1 Hz (Coutts & Duffield, 2008). More recently, it has been reported that 5 Hz NdGPS seemed more accurate than 1 Hz when measuring distance and velocity for movement patterns at higher velocities, whilst there was still some discrepancy when compared to the criterion measure (Duffield, Reid, Baker & Spratford, 2009). We previously found that 5 Hz NdGPS displayed good levels of accuracy (%error <1%) and reliability (CV <5%) when compared to trundle-wheel measured total distance for soccer-specific courses derived from semiautomated video analysis data (ProZone ®) for position-specific bouts of activity (Portas, Harley, Barnes & Rush, 2010).…”

Section: Experimental Designmentioning

confidence: 99%

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Motion analysis of match-play in elite U12 to U16 age-group soccer players

Harley

Barnes

Portas

et al. 2010

Journal of Sports Sciences

141

118

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The aim of this study was to quantify the motion demands of match-play in elite U12-U16 year old soccer players. 112 players from two professional soccer clubs at five age-group levels (U12-U16) were monitored during competitive matches (n = 14) using 5 Hz non-differential Global Positioning System (NdGPS). Velocity thresholds were normalised for each age-group using the mean squad times for a flying 10 m sprint test as a reference point. Match performance was reported as total distance, high-intensity distance, very high-intensity distance and sprint distance.Data were reported both in absolute (m) and relative (m · min -1 ) terms due to a rolling substitute policy. U15 (1.35 ± 0.09 s) and U16 (1.31 ± 0.06 s) players were significantly quicker than the U12 (1.58 ± 0.10 s), U13 (1.52 ± 0.07 s) and U14 (1.51 ± 0.08 s) players in the flying 10m sprint test (P<0.001). The U16 age-group covered significantly more absolute total distance (U16 > U12, U13, U14), high-intensity distance (U16 > U12, U13, U14, U15), very high-intensity distance (U16 > U12, U13) and sprint distance (U16 > U12, U13) than their younger counterparts (P<0.05). When the data are considered relative to match exposure, few differences are apparent. Training prescription for youth soccer players should consider the specific demands of competitive match-play at each age-group.

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“…Furthermore, the analysis of sprinting using NdGPS must be made with caution due to the reported accuracy of NdGPS during high-intensity activity (Duffield et al, 2009). …”

Section: Discussionmentioning

confidence: 99%

Section: Experimental Designmentioning

confidence: 99%

Motion analysis of match-play in elite U12 to U16 age-group soccer players

Harley

Barnes

Portas

et al. 2010

Journal of Sports Sciences

141

118

View full text Add to dashboard Cite

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“…The resultant position of a receiver is the intersection region of all thes e circles. The accuracy of this methods is usually in a few meters [1] and is therefore good enough if the agents do not come close to each other. However, in case of a close coordination among the agents, a much higher accuracy will be required.…”

Section: Global Positioning Systemmentioning

confidence: 99%

An Overview of Localization Methods for Multi-Agent Systems

Saim¹,

Munawar²,

Al‐Saggaf³

2017

IJERA

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Localization of mult i-agent systems is a fundamental requirement for mu lti-agent systems to operate and cooperate properly. The problem of localization can be divided into two categories; one in which a -p riori informat ion is available and the second where the global position is to be asce rtained without a-priori informat ion. This paper gives a comprehensive survey of localization techniques that exist in the literature for both the categories with the objectives of knowing the current state -of-the-art, helping in selecting the proper approach in a given scenario and promoting research in this area. A detailed description of methods that exist in the literature are provided in considerable detail. Then these methods are compared, and their weaknesses and strengths are discussed. Finally, so me future research recommendations are drawn out of this survey.

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“…The tracking of athletes and measures of athletic performance are of high interest to scientists and trainers, who use GPS tracking for speed and distance measurements in tennis and other court-constrained sports (Duffield et al 2010) (Figure 4) which track and map the running events of end-users and facilitates social interaction through a geosocial community. Strava uses mobile GPS to calculate distance, speed, rate, elevation gain, and if equipped with GPS waypoints for a pre-defined running course, can calculate distance deviations from the defined course.…”

Section: Gps-enabled Dynamic Geocrowdsourcing Applicationsmentioning

confidence: 99%

Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed

Rice¹,

Curtin²,

Pfoser³

et al. 2015

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A A r re ep po or rt t o on n q qu ua al li it ty y a as ss se es ss sm me en nt t, , d dy yn na am mi ic c e ex xt te en ns si io on ns s, , a an nd d m mo ob bi il le e d de ev vi ic ce e e en ng ga ag ge em me en nt t i in n t th he e G Ge eo or rg ge e M Ma as so on n U Un ni iv ve er rs si it ty y G Ge eo oc cr ro ow wd ds so ou ur rc ci in ng g T Te es st tb be ed AbstractThis report documents the development of the George Mason University Geocrowdsourcing Testbed (GMU-GcT), whose purpose is to provide a platform for studying the dynamics, limitations, and best practices of geocrowdsourcing. We present a comprehensive study of the social moderation process in the GMU-GcT and the quality parameters of information in the GMU-GcT. We present an analysis of device-based positioning in mobile geocrowdsourcing, and use the study and our analysis as a context for dynamic application extensions of the GMU-GcT in the areas of field-based obstacle moderation, obstacle interaction, and accessible routing.

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Accuracy and reliability of GPS devices for measurement of movement patterns in confined spaces for court-based sports

Cited by 197 publications

References 5 publications

Motion analysis of match-play in elite U12 to U16 age-group soccer players

Motion analysis of match-play in elite U12 to U16 age-group soccer players

An Overview of Localization Methods for Multi-Agent Systems

Social Moderation and Dynamic Elements in Crowdsourced Geospatial Data: A Report on Quality Assessment, Dynamic Extensions and Mobile Device Engagement in the George Mason University Geocrowdsourcing Testbed

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