The Validity of Microsensors to Automatically Detect Bowling Events and Counts in Cricket Fast Bowlers

McNamara, Dean J.; Gabbett, Tim J.; Chapman, Paul; Naughton, Géraldine; Farhart, Patrick

doi:10.1123/ijspp.2014-0062

Cited by 61 publications

(62 citation statements)

References 15 publications

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“…That is, of the 245 true-and false-positive collision events ≥2 seconds, 98.4% (n = 241) were true-positive outcomes and 1.6% (n = 4) were false-positive. McNamara et al recently demonstrated that microtechnology: (1) was sensitive to detect bowling counts in cricket fast bowlers, 21 (2) provided a reproducible measure of external workload, 22 and (3) could be used to identify spikes in high-intensity acute:chronic workload ratios. 23 Although the risk of team sport athletes sustaining a contact injury has been associated with poor high-intensity running ability, 24 changes in locomotor distance and acceleration workloads (i.e.…”

Section: Discussionmentioning

confidence: 99%

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Hulin

Gabbett²,

Johnston

et al. 2017

Journal of Science and Medicine in Sport

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Objectives: Collision frequency during rugby league matches is associated with team success, greater and longer lasting fatigue and increased injury risk. This study researched the sensitivity and specificity of microtechnology to count collision events during rugby league matches. Design: Diagnostic accuracy studyMethods: While wearing a microtechnology device (Catapult, Optimeye S5), eight professional rugby league players were subjected to a total of 380 collision events during matches. Video footage of each match was synchronised with microtechnology data. The occurrence of each collision event was coded in comparison with whether that event was or was not detected by microtechnology.Results: Microtechnology detected 371 true-positive collision events (sensitivity = 97.6 ± 1.5%). When low-intensity (<1 PlayerLoad AU), short duration (<1 second) events were excluded from the analysis, specificity was 91.7 ± 2.5%, accuracy was 92.7 ± 1.3%, positive likelihood ratio was 11.4 ×/÷ 1.4 and the typical error of estimate was 7.8% ×/÷ 1.9 (d = 0.29 ×/÷ 1.9, small). Microtechnology collisions 2 were strongly and positively correlated with video coded collision events (r = 0.96). The ability of microtechnology to detect collision events improved as the intensity and duration of the collision increased. Conclusions:Microtechnology can identify 97.6% of collision events during rugby league match-play.The typical error associated with measuring contact events can be reduced to 7.8%, with accuracy (92.7%) and specificity (91.7%) improving, when low-intensity (<1 PlayerLoad AU) and short duration (<1 second) collision reports are excluded. This provides practitioners with a measurement of contact workload during professional rugby league matches.

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Section: Discussionmentioning

confidence: 99%

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Hulin

Gabbett²,

Johnston

et al. 2017

Journal of Science and Medicine in Sport

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“…Specifically, different activity types can be classified based on the features of the accelerometer signal. McNamara et al (2015) developed a bowling detection algorithm for cricket. The researchers found that the algorithm was able to classify cricket bowling more effectively in training than game-play, with a maximum accuracy of 98.1% (training).…”

Section: Introductionmentioning

confidence: 99%

Classification of team sport activities using a single wearable tracking device

Wundersitz

Josman

Gupta

et al. 2015

Journal of Biomechanics

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“…Such technology has been used to detect collisions in rugby league 78,79 fast bowling in cricket, 80 swimming, 81 and cross-country skiing 82 movements. While these studies have used single devices worn on the upper back, other studies have used multiple devices to identify these sport-specific actions.…”

Section: Inertial Sensorsmentioning

confidence: 99%

Unpacking the Black Box: Applications and Considerations for Using GPS Devices in Sport

Malone¹,

Lovell²,

Varley³

et al. 2017

International Journal of Sports Physiology and Performance

443

475

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Athlete-tracking devices that include global positioning system (GPS) and microelectrical mechanical system (MEMS) components are now commonplace in sport research and practice. These devices provide large amounts of data that are used to inform decision making on athlete training and performance. However, the data obtained from these devices are often provided without clear explanation of how these metrics are obtained. At present, there is no clear consensus regarding how these data should be handled and reported in a sport context. Therefore, the aim of this review was to examine the factors that affect the data produced by these athlete-tracking devices and to provide guidelines for collecting, processing, and reporting of data. Many factors including device sampling rate, positioning and fitting of devices, satellite signal, and data-filtering methods can affect the measures obtained from GPS and MEMS devices. Therefore researchers are encouraged to report device brand/model, sampling frequency, number of satellites, horizontal dilution of precision, and software/firmware versions in any published research. In addition, details of inclusion/exclusion criteria for data obtained from these devices are also recommended. Considerations for the application of speed zones to evaluate the magnitude and distribution of different locomotor activities recorded by GPS are also presented, alongside recommendations for both industry practice and future research directions. Through a standard approach to data collection and procedure reporting, researchers and practitioners will be able to make more confident comparisons from their data, which will improve the understanding and impact these devices can have on athlete performance. Keywords: microtechnology, athlete tracking, method, MEMS, time-motion analysisGlobal positioning system (GPS) is a satellite navigation network that provides location and time information of tracking devices. Initially developed for military purposes, this system now has much wider application, including its use in athlete tracking and load quantification. GPS satellites orbit the Earth and send precise time information (from an atomic clock) to the GPS receivers (at the speed of light) to determine the duration of signal transit. 1 A minimum of four satellites are required to determine the position of the GPS receiver trigonometrically. Commercial GPS systems are now commonly used in individual-and team-sports at all levels. The development and subsequent acceptance of microtechnology in sport has led to the integration of other micro inertial sensors within GPS devices, such as triaxial accelerometers, magnetometers, and gyroscopes; collectively termed as micro electrical mechanical systems (MEMS). Thus, GPS and MEMS technology provides practitioners with a wide array of data that can be used to assess athlete physical loading and activity profile.The use of GPS in sport allows practitioners to evaluate athletic training programs, and researchers to better investigate applied research questi...

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The Validity of Microsensors to Automatically Detect Bowling Events and Counts in Cricket Fast Bowlers

Cited by 61 publications

References 15 publications

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Classification of team sport activities using a single wearable tracking device

Unpacking the Black Box: Applications and Considerations for Using GPS Devices in Sport

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