A comparison of two global positioning system devices for team-sport running protocols

Willmott, Ashley G B; James, Carl; Bliss, Alex; Leftwich, Rosa A.; Maxwell, Neil

doi:10.1016/j.jbiomech.2018.11.044

Cited by 18 publications

(22 citation statements)

References 19 publications

(30 reference statements)

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“…It can be seen from Figure 5 that in the node surface layout scene, the node surface position of the methods in reference [4] and the methods in reference [5] deviates greatly from the actual position of the node, while the node surface position of the proposed method is close to the actual position of the node. It can be seen that the long-distance real-time positioning effect of the methods in reference [4] and the methods in reference [5] is poor, while the longdistance real-time positioning effect of the proposed method is relatively good.…”

Section: Comparison Of Remote Real-time Positioning Effects Ofmentioning

confidence: 99%

“…Long-Distance Running. In order to verify the long-distance running remote real-time positioning effect of the proposed method, the proposed method, the methods in reference [4], and the methods in reference [5] were used to compare, and the comparison results of the long-distance real-time positioning effect of different methods are shown in Figure 5.…”

Section: Comparison Of Remote Real-time Positioning Effects Ofmentioning

confidence: 99%

“…where N is the number of sensor network nodes, r is the node communication radius, x e,i and x r,i are the estimated and actual positions of node i, and m is the number of beacon nodes. e proposed method, the methods in reference [4], and the methods in reference [5] are used to carry out long-distance running remote real-time positioning, respectively, and the comparison results of long-distance running real-time positioning errors of different methods are shown in Figure 6.…”

Section: Comparison Of Remote Real-time Positioning Accuracy Ofmentioning

confidence: 99%

“…At present, scholars in related fields have studied motion localization and made great progress. Willmott et al [4] studied the comparability and reliability of GPS equipment in running related to team sports and calculated the typical measurement error and coefficient of variation between GPS devices for the total distance and peak velocity variables. e total distance and peak speed during straight driving were observed between FieldWiz and the catapult GPS device.…”

Section: Introductionmentioning

confidence: 99%

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Design of Remote Real-Time Positioning Method for Long-Distance Running under Wireless Network Technology

Xia

2021

Security and Communication Networks

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Aiming at the problems of low precision, long time, and poor effect of current remote real-time motion location methods, a long-distance real-time motion location method based on wireless network technology was proposed. Through the analysis of wireless network technology, the basic structure and positioning technology of wireless sensor networks are studied. In addition, this paper adopts the core matrix Isomap node location algorithm based on partial least squares (PLS). The distance of geodesic between long-distance running nodes is used to characterize the dissimilarity between nodes, and the sample contribution rate of the partial least squares method is used to find and eliminate the phenomenon of short circuits in long-distance running fields. High-dimensional feature interval is mapped by centroid transformation and kernel transformation. The experimental results show that the method can improve the positioning accuracy and shorten the positioning time effectively.

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Section: Comparison Of Remote Real-time Positioning Effects Ofmentioning

confidence: 99%

Section: Comparison Of Remote Real-time Positioning Effects Ofmentioning

confidence: 99%

Section: Comparison Of Remote Real-time Positioning Accuracy Ofmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design of Remote Real-Time Positioning Method for Long-Distance Running under Wireless Network Technology

Xia

2021

Security and Communication Networks

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“…The physical demands of hockey may be monitored using wearable miniature electro-mechanical devices, providing both global positioning system (GPS) and inertial measurement unit (IMU) data (Cummins et al, 2013 ). These devices provide distances traveled at different velocities (Willmott et al, 2018 ) and can quantify specific movements such as accelerations, decelerations, or changes of direction (James et al, 2021 ). Since the 2013/2015 rule changes, it has been suggested that players cover a similar total distance (~8,400 m) (Ihsan et al, 2018 ) within the modern game, compared with the historical 70-min format (~8,000–8,500 m) (Lythe and Kilding, 2011 ; Buglione et al, 2013 ).…”

Section: Introductionmentioning

confidence: 99%

Volume and Intensity of Locomotor Activity in International Men's Field Hockey Matches Over a 2-Year Period

James¹,

Gibson

Dhawan³

et al. 2021

Front. Sports Act. Living

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The locomotor demands of international men's field hockey matches were investigated across positions (DEF, MID, FWD) and playing quarters. Volume (i.e., total values) and intensity (i.e., relative to playing time) data were collected using 10-Hz GPS/100-Hz accelerometer units from the #11 world-ranked (WR) team, during 71 matches, against 24 opponents [WR 12 ± 11 (range, 1–60)]. Mean ± SD team total distance (TD) was 4,861 ± 871 m, with 25% (1,193 ± 329 m) “high-speed running” (>14.5 km h−1) and 8% (402 ± 144 m) “sprinting” (>19.0 km h−1). Reduced TD (range, −3 to 4%) and average speed (range, −3.4 to 4.7%) occurred through subsequent quarters, vs. Q1 (p < 0.05). A “large” negative relationship (r = −0.64) was found between playing duration and average speed. Positional differences (p < 0.05) were identified for all volume metrics including; playing duration (DEF, 45:50 ± 8:00 min; MID, 37:37 ± 7:12 min; FWD, 33:32 ± 6:22 min), TD (DEF, 5,223 ± 851 m; MID, 4,945 ± 827 m; FWD, 4,453 ± 741 m), sprinting distance (DEF, 315 ± 121 m; MID, 437 ± 144 m; FWD, 445 ± 129 m), and acceleration efforts (>2 m s−2; DEF, 48 ± 12; MID, 51 ± 11; FWD, 50 ± 14). Intensity variables similarly revealed positional differences (p < 0.05) but with a different pattern between positions; average speed (DEF, 115 ± 10 m min−1; MID, 132 ± 10 m min−1; FWD, 134 ± 15 m min−1), sprinting (DEF, 7 ± 3 m min−1; MID, 12 ± 4 m min−1; FWD, 14 ± 4 m min−1), and accelerations (DEF, 1.1 ± 0.3 n min−1; MID, 1.4 ± 0.2 n min−1; FWD, 1.5 ± 0.3 n min−1). Physical outputs reduced across playing quarters, despite unlimited substitutions, demonstrating the importance of optimizing physical preparation prior to international competition. Volume and intensity data highlight specific positional requirements, with forwards displaying shorter playing durations but greater high-intensity activities than defenders.

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Exercise tolerance during flat over-ground intermittent running: modelling the expenditure and reconstitution kinetics of work done above critical power

Vassallo¹,

Gray

Cummins

et al. 2019

Eur J Appl Physiol

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Purpose We compared a new locomotor-specific model to track the expenditure and reconstitution of work done above critical power (W´) and balance of W´ (W´BAL) by modelling flat over-ground power during exhaustive intermittent running. Method Nine male participants completed a ramp test, 3-min all-out test and the 30–15 intermittent fitness test (30–15 IFT), and performed a severe-intensity constant work-rate trial (SCWR) at the maximum oxygen uptake velocity (vV̇O2max). Four intermittent trials followed: 60-s at vV̇O2max + 50% Δ1 (Δ1 = vV̇O2max − critical velocity [VCrit]) interspersed by 30-s in light (SL; 40% vV̇O2max), moderate (SM; 90% gas-exchange threshold velocity [VGET]), heavy (SH; VGET + 50% Δ2 [Δ2 = VCrit − VGET]), or severe (SS; vV̇O2max − 50% Δ1) domains. Data from Global Positioning Systems were derived to model over-ground power. The difference between critical and recovery power (DCP), time constant for reconstitution of W´ ($$\tau_{{W^{\prime}}}$$τW′), time to limit of tolerance (TLIM), and W´BAL from the integral (W´BALint), differential (W´BALdiff), and locomotor-specific (OG-W´BAL) methods were compared. Results The relationship between $$\tau_{{W^{\prime}}}$$τW′ and DCP was exponential (r2 = 0.52). The $$\tau_{{W^{{\prime}}}}$$τW′ for SL, SM, and SH trials were 119 ± 32-s, 190 ± 45-s, and 336 ± 77-s, respectively. Actual TLIM in the 30–15 IFT (968 ± 117-s) compared closely to TLIM predicted by OG-W´BAL (929 ± 94-s, P > 0.100) and W´BALdiff (938 ± 84-s, P > 0.100) but not to W´BALint (848 ± 91-s, P = 0.001). Conclusion The OG-W´BAL accurately tracked W´ kinetics during intermittent running to exhaustion on flat surfaces.

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A comparison of two global positioning system devices for team-sport running protocols

Cited by 18 publications

References 19 publications

Design of Remote Real-Time Positioning Method for Long-Distance Running under Wireless Network Technology

Design of Remote Real-Time Positioning Method for Long-Distance Running under Wireless Network Technology

Volume and Intensity of Locomotor Activity in International Men's Field Hockey Matches Over a 2-Year Period

Exercise tolerance during flat over-ground intermittent running: modelling the expenditure and reconstitution kinetics of work done above critical power

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