scholarly journals Quantifying exposure to running for meaningful insights into running-related injuries

2019 ◽  
Vol 5 (1) ◽  
pp. e000613 ◽  
Author(s):  
John J Davis IV ◽  
Allison H Gruber
Keyword(s):  
Global Positioning System ◽  
Wearable Sensors ◽  
Integrative Approach ◽  
Positioning System ◽  
Multiple Sources ◽  
Commercial Activity ◽  
Activity Monitors ◽  
Global Positioning ◽  
Research Grade ◽  
External Training

The very term ‘running-related overuse injury’ implies the importance of ‘use’, or exposure, to running. Risk factors for running-related injury can be better understood when exposure to running is quantified using either external or internal training loads. The advent of objective methods for quantifying exposure to running, such as global positioning system watches, smartphones, commercial activity monitors and research-grade wearable sensors, make it possible for researchers, coaches and clinicians to track exposure to running with unprecedented detail. This viewpoint discusses practical issues surrounding the use and analysis of data from such devices, including how wearable devices can be used to assess both internal and external training loads. We advocate for an integrative approach where data from multiple sources are used in combination to directly measure exposure to running in diverse settings.

scholarly journals Influence of game format and team strategy on physical and perceptual intensity in soccer small-sided games

2021 ◽  
pp. 174795412110563
Author(s):  
Andrew Guard ◽  
Kenneth McMillan ◽  
Niall MacFarlane
Keyword(s):  
Global Positioning System ◽  
Physiological Stress ◽  
Soccer Players ◽  
Positioning System ◽  
Subjective Ratings ◽  
Specific Training ◽  
Global Positioning ◽  
Game Format ◽  
External Training ◽  
Additional Form

The aim of the study was to compare internal and external load responses of different small-sided games, using balanced (5v5 Possession and small-sided games formats) and unbalanced (6v4) teams. Ten elite youth male soccer players were monitored at the start of the in-season period using global positioning system, heart rate and subjective ratings of intensity. Results showed higher physiological stress (>90% HRmax) in Possession and small-sided games formats when compared to the unbalanced teams (ES = 1.3–2.3). Total and high-intensity distance in small-sided games (28 ± 25 m) and Possession (67 ± 35 m) were greater compared to teams of 6 and 4 in the unbalanced scenario. Small-sided games format and team with six players had higher proportion of distance running at sub-maximal velocities (0–5.8 m/s2). Small-sided games format and team with four players saw greater mean acceleration effort (mean acceleration intensity in small-sided games 1.91 ± 0.27 vs. Possession 1.80 ± 0.20 m/s2, ES = 0.4 and Team 4 1.56 ± 0.24 vs. Team 6 1.44 ± .0.19 m/s2, ES = 1.3). Small-sided games format and team with 6 players had lower starting velocities prior to acceleration efforts (small-sided games 0.90 ± 0.08 and Team 6 1.11 ± 0.11 m/s2, ES = 1.5 and ES = 1.8), while velocity at the end of each acceleration effort was greater in the Possession format and Team 4 compared to small-sided games and Team 6 (Possession 3.54 ± 0.23 m/s2 and Team 4 3.13 ± 0.22 m/s2) compared to the small-sided games format (ES = 0.1) and the team with six players (ES = 2.3). These data demonstrate that using unbalanced teams can provide an additional form of training prescription to facilitate player specific training within a squad environment by providing different internal and external training responses within a combined drill.

Causes and Consequences of Timing Errors Associated With Global Positioning System Collar Accelerometer Activity Monitors

2014 ◽  
Vol 5 (2) ◽  
pp. 372-379 ◽  
Author(s):  
Adam J. Gaylord ◽  
Dana M. Sanchez
Keyword(s):  
Global Positioning System ◽  
Animal Behavior ◽  
Cervus Elaphus ◽  
Activity Monitor ◽  
Positioning System ◽  
Activity Monitors ◽  
Timing Errors ◽  
Global Positioning ◽  
Free Ranging ◽  
Monitor Data

Abstract Direct behavioral observations of multiple free-ranging animals over long periods of time and large geographic areas is prohibitively difficult. However, recent improvements in technology, such as Global Positioning System (GPS) collars equipped with motion-sensitive activity monitors, create the potential to remotely monitor animal behavior. Accelerometer-equipped activity monitors quantify animal motion with different amounts of movement presumably corresponding to different animal activities. Variations in motion among species and differences in collar design necessitate calibration for each collar and species of interest. We paired activity monitor data collected using Lotek GPS_4400 collars worn by captive Rocky Mountain elk Cervus elaphus nelsoni with simultaneously collected behavior observations. During our initial data screening, we observed many sampling intervals of directly observed behavior that did not pair to activity monitor data in a logical fashion. For example, intervals containing behaviors associated with little or no motion sometimes aligned with relatively high activity monitor values. These misalignments, due to errors associated with collar timekeeping mechanisms, would likely result in inaccurate classification models. We corrected timing errors by using defined breaks in animal behavior to shift times given by collar output, improving the average correct classification rate 61.7 percentage points for specific behaviors. Furthermore, timing errors were significantly reduced by increasing the GPS fix rate, by using a sampling interval divisible by 8 seconds, and by accurately timing the initial collar activation. Awareness and management of collar timing error will enable users to obtain the best possible estimates of true behavior when calibrating these collars and interpreting data from free-ranging animals.

scholarly journals Choosing Sampling Interval Durations for Remotely Classifying Rocky Mountain Elk Behavior

2016 ◽  
Vol 7 (1) ◽  
pp. 213-221 ◽  
Author(s):  
Adam J. Gaylord ◽  
Dana M. Sanchez ◽  
John Van Sickle
Keyword(s):  
Global Positioning System ◽  
Rocky Mountain ◽  
Potential Effect ◽  
Sampling Interval ◽  
Positioning System ◽  
Activity Monitors ◽  
Global Positioning ◽  
Sampling Intervals ◽  
Rocky Mountain Elk ◽  
And Behavior

Abstract Dual-axis accelerometer global positioning system collars can be used to remotely record the activity level and behavior of free-ranging animals, but inter- and intraspecific variations in motion among behaviors necessitate calibration for each species of interest. To date, little work has been done to determine the best duration for sampling intervals when using activity monitors that incorporate dual-axis accelerometers. However, we expected that the duration of behaviors relative to the duration of sampling intervals could affect the accuracy of calibration and behavior classification models. Furthermore, we considered the potential effect of winter diet supplementation (hay) on behavior classification. We used Lotek 4500 global positioning system collars featuring dual-axis accelerometer activity monitors to collect data for calibration and classification trials on Rocky Mountain elk Cervus elaphus nelsoni. We used discriminant function model structures to determine the number of accurately classifiable behaviors that could be derived from data sampled over three sampling interval durations (5 min, 152 s, and 64 s) while also considering the potential effect of hay supplementation on classification. Our results suggest that investigators should ascertain whether their focal elk herd accesses or might access supplemental hay before deployment and analysis of activity sensor data. Similarly, researchers must weigh priorities when choosing a sampling interval, because no optimal solution emerged from our investigation. For example, of our acceptable models, only those constructed using 64-s intervals were able to distinguish short bouts of running. However, only models constructed with 5-min intervals accurately classified browsing while also maximizing the number of behaviors identified.

Aplikasi Pemosisi Lokal Berbasis Android Dengan Menggunakan GPS

INTI TALAFA ◽  
2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Yaman Khaeruzzaman
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Database Server ◽  
Global Positioning

Seiring dengan pesatnya kemajuan teknologi saat ini, kebutuhan manusia menjadi lebih beragam, termasuk kebutuhan akan informasi. Tidak hanya media informasinya yang semakin beragam, jenis informasi yang dibutuhkan juga semakin beragam, salah satunya adalah kebutuhan informasi akan posisi kita terhadap lingkungan sekitar. Untuk memenuhi kebutuhan itu sebuah sistem pemosisi diciptakan. Sistem pemosisi yang banyak digunakan saat ini cenderung berfokus pada lingkup ruang yang besar (global) padahal, dalam lingkup ruang yang lebih kecil (lokal) sebuah sistem pemosisi juga diperlukan, seperti di ruang-ruang terbuka umum (taman atau kebun), ataupun dalam sebuah bangunan. Sistem pemosisi lokal yang ada saat ini sering kali membutuhkan infrastruktur yang mahal dalam pembangunannya. Aplikasi Pemosisi Lokal Berbasis Android dengan Menggunakan GPS ini adalah sebuah aplikasi yang dibangun untuk memenuhi kebutuhan pengguna akan informasi lokasi dan posisi mereka terhadap lingkungan di sekitarnya dalam lingkup ruang yang lebih kecil (lokal) dengan memanfaatkan perangkat GPS (Global Positioning System) yang telah tertanam dalam perangkat smartphone Android agar infrastruktur yang dibutuhkan lebih efisien. Dalam implementasinya, Aplikasi Pemosisi Lokal ini bertindak sebagai klien dengan dukungan sebuah Database Server yang berfungsi sebagai media penyimpanan data serta sumber referensi informasi yang dapat diakses melalui jaringan internet sehingga tercipta sebuah sistem yang terintegrasi secara global. Kata kunci: aplikasi, informasi, pemosisi, GPS.

The Distribution of Hospitality Services in Uyo Urban, Nigeria

2018 ◽  
pp. 137-150
Author(s):  
Violet Bassey Eneyo
Keyword(s):  
Data Collection ◽  
Global Positioning System ◽  
Central Area ◽  
Positioning System ◽  
Nearest Neighbour ◽  
Global Positioning ◽  
Neighbour Analysis

This paper examines the distribution of hospitality services in Uyo Urban, Nigeria. GIS method was the primary tool used for data collection. A global positioning system (GPS) Garmin 60 model was used in tracking the location of 102 hospitality services in the study area. One hypothesis was stated and tested using the nearest neighbour analysis. The finding shows evidence of clustering of the various hospitality services. The tested hypothesis further indicated that hospitality services clustered in areas that guarantee a sustainable level of patronage to maximize profit. Thus, the hospitality services clustered in selected streets in the metropolis while limited numbers were found outside the city’s central area.

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