Application of a tri-axial accelerometer to estimate jump frequency in volleyball

Jarning, Jon M.; Mok, Kam-Ming; Hansen, Bjørge Herman; Bahr, Roald

doi:10.1080/14763141.2015.1027950

Cited by 29 publications

(26 citation statements)

References 28 publications

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“…Athletic performance can be improved by specifically training jumping ability (Bui et al, 2015;Leard et al, 2007;Requena, García, Requena, Saez-Saez de Villarreal, & Pääsuke, 2012). Many studies have examined the straight up and down jump but very few examine the rotational jump (Balsalobre-Fernández et al, 2015;Bui et al, 2015;Dias et al, 2011;Jarning, Mok, Hansen, & Bahr, 2015;Leard et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Comparison of two methods in the estimation of vertical jump height

Grainger¹,

Weisberg²,

Stergiou³

et al. 2019

jhse

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Vertical jumps are vital aspects in many sports. Many technologies are available to determine and calculate jump height. One such portable and easy-to-use technology is an Inertial Measurement Unit (IMU) that uses accelerometers, gyroscopes and magnetometers. The purpose of this study was to compare vertical jump heights calculated from the data captured with an IMU versus true jump height calculated using a gold standard 3-Dimensional Motion Capture system. Ten subjects completed five jumps for six different conditions including vertical counter-movement jumps and jumps involving rotations on the ground and using a trampoline. An average Pearson correlation coefficient of 0.87 was found between the IMU and motion capture for all conditions. Condition correlations ranged from 0.76 to 0.94. Bland-Altman analyses showed that the IMU underestimated the vertical jump height compared to the motion capture by 5.0 to 9.2 cm across all conditions. Results suggest an IMU can be used to measure jump height in a laboratory setting with a reasonable accuracy, even during vertical jumps that include rotations.

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Section: Introductionmentioning

confidence: 99%

Comparison of two methods in the estimation of vertical jump height

Grainger¹,

Weisberg²,

Stergiou³

et al. 2019

jhse

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“…Further, most are unable to detect jumping au-tomatically in real time and are not capable of monitoring multiple athletes simultaneously (e. g. a team). Recently, wearable inertial sensors have been used to automatically detect one [13,14,18,21,23] or more movements [22,30] relevant to team sport and may offer a method of monitoring jumping. However, the accuracy of inertial sensors to detect jumping has been mixed [13,18,30] and reliability research non-existent.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, wearable inertial sensors have been used to automatically detect one [13,14,18,21,23] or more movements [22,30] relevant to team sport and may offer a method of monitoring jumping. However, the accuracy of inertial sensors to detect jumping has been mixed [13,18,30] and reliability research non-existent. For example, Jarning et al [13] used vertical and resultant accelerometer data to detect jumping during simulated volleyball competition and could not differentiate jumping from other movements (e. g. sprinting, side-to-side shuffle).…”

Section: Introductionmentioning

confidence: 99%

“…However, the accuracy of inertial sensors to detect jumping has been mixed [13,18,30] and reliability research non-existent. For example, Jarning et al [13] used vertical and resultant accelerometer data to detect jumping during simulated volleyball competition and could not differentiate jumping from other movements (e. g. sprinting, side-to-side shuffle). On the other hand, Whittaker and Meeuwisse [18], using a com-Considering the large and repetitive loads associated with jumping in team sports, automatic detection and quantification of jumping may show promise in reducing injury risks.…”

Section: Introductionmentioning

confidence: 99%

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Inertial Sensors are a Valid Tool to Detect and Consistently Quantify Jumping

et al. 2018

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Considering the large and repetitive loads associated with jumping in team sports, automatic detection and quantification of jumping may show promise in reducing injury risks. The aim of this study was to validate commercially available inertial-movement analysis software to detect and quantify jumping in team sports. In addition, the test-retest reliability of the software to quantify jumping was assessed. Seventy-six healthy male participants completed a team sport circuit six times containing seven common movements (including three countermovement and two single-leg jumps) whilst wearing an inertial sensor (Catapult Sports, Australia). Jump detection accuracy was assessed by comparing the known number of jumps to the number recorded by the inertial movement analysis software. A further 27 participants separately performed countermovement and single-leg jumps at 33%, 66% and 100% of maximal jump height over two sessions. Jump height quantification accuracy was assessed by comparing criterion three-dimensional motion analysis-derived heights to that recorded by the inertial movement analysis software. Test-retest reliability was assessed by comparing recorded jump heights between both testing sessions. Catapult's inertial movement analysis software displayed excellent jump detection accuracy (96.9%) and test-retest jump height quantification reliability (ICC: 0.86 [countermovement jump], 0.88 [single-leg jump]). However, significant mean bias (-2.74 cm [95% LoA -10.44 - 4.96]) was observed for jump height quantification. Overall, Catapult's inertial movement analysis software appears to be a suitable method of automatically detecting jumping in team sports, and although reliable, caution is advised when using the IMA software to quantify jump height.

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“…Lately, there have been created accelerometers that count and measure the jumps in real time (Gageler, Eearing, & James, 2015;Jarning et al, 2015). Such a device is VERT, an accelerometer found at the Human Motricity Research Centre of the Faculty of Physical Education and Sport within the University of Craiova, through which it is possible to measure vertical jump in real time, both during training and match play.…”

Section: Introductionmentioning

confidence: 99%

Ways to Improve Vertical Jumps Using Vert Device

Cosma¹

2018

The European Proceedings of Social and Behavioural Sciences

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The volleyball game involves multiple vertical jumps needed for performing technical procedures -the attack, block or serve. All of these require explosive strength in the lower limbs. The aim of the study was to identify the influence of plyometric exercises included in the technical structures specific to the volleyball game. Thus, a group of 12 volleyball players (male, aged 17 ± 1.5 years) participated for 6 months in a training program that included plyometric exercises performed 3 times per week during the precompetitive period. In order to determine the progress of the jump, two specific tests (the attack and block jumps) and the Vert device were used. The Vert device is an accelerometer found at the Human Motricity Research Centre of the Faculty of Physical Education and Sport in Craiova, and designed in the USA. The subjects were tested before and after applying the work program. Following the application of the work program, significant progress has been identified in terms of attack and block jumps, but also in the vertical jump measured by Vert device, the mean difference being statistically significant at a threshold of p <0.05. The Vert instrument has become extremely important in the sports training economy and is also a motivational factor, the individual progress being monitored in real time.

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Application of a tri-axial accelerometer to estimate jump frequency in volleyball

Cited by 29 publications

References 28 publications

Comparison of two methods in the estimation of vertical jump height

Comparison of two methods in the estimation of vertical jump height

Inertial Sensors are a Valid Tool to Detect and Consistently Quantify Jumping

Ways to Improve Vertical Jumps Using Vert Device

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