A wearable device with inertial motion tracking and vibro-tactile feedback for aesthetic sport athletes Diving Coach Monitor

Kidman, Emma M.; D’Souza, Matthew; Singh, Surya P. N.

doi:10.1109/icspcs.2016.7843371

Cited by 16 publications

(15 citation statements)

References 13 publications

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“…Athlete-level measurements using dedicated data recorders or wearable technology may be effective alternative strategies for exposure time ascertainment in this population. 19,25,26 Such strategies may also allow researchers to capture more detailed exposure data, such as swim distance, type and number of dives, and exertional metrics, in this group. Although the NCAA ISP is unable to accommodate all of these measurement advancements in its current form, researchers may conduct targeted studies to pilot their feasibility and ultimately refine them for largescale implementation.…”

Section: Discussionmentioning

confidence: 99%

Epidemiology of Injuries in National Collegiate Athletic Association Women's Swimming and Diving: 2014–2015 Through 2018–2019

Chandran

Morris

DʼAlonzo

et al. 2021

Journal of Athletic Training

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Context The number of women's swimming and diving teams sponsored by the National Collegiate Athletic Association has increased over the last 5 years. Background Routine examinations of women's swimming and diving injuries are important for identifying emerging temporal patterns. Methods Exposure and injury data collected in the National Collegiate Athletic Association Injury Surveillance Program during the 2014–2015 through 2018–2019 athletic seasons were analyzed. Injury counts, rates, and proportions were used to describe injury characteristics, and injury rate ratios were used to examine differences in injury rates. Results The overall injury rate was 1.78 per 1000 athlete-exposures in swimmers and 2.49 per 1000 AEs in divers. Shoulder (33.0%) injuries accounted for the largest proportion of all swimming injuries; most injuries were classified as overuse (51.3%). Head or face (29.4%) and trunk (20.2%) injuries accounted for the largest proportions of all diving injuries. Summary Findings indicated that shoulder and trunk injuries, as well as injuries resulting from overuse mechanisms, warrant further attention in swimming. Given the low in the National Collegiate Athletic Association Injury Surveillance Program observed across the study period, the need for greater participation in sports injury surveillance is also apparent.

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Section: Discussionmentioning

confidence: 99%

Epidemiology of Injuries in National Collegiate Athletic Association Women's Swimming and Diving: 2014–2015 Through 2018–2019

Chandran

Morris

DʼAlonzo

et al. 2021

Journal of Athletic Training

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“…Advances in science and technology today provide the means to improve and develop training techniques. In recent years, many sensors such as accelerometers [1,2], gyroscopes [3,4], and pressure sensors [5,6] have been widely used in various sports activities. For example, ultrasound sensors, which represent a reasonable compromise between cost and accuracy, have been used in archery to analyze the stability of the archer's hands [7].…”

Section: Introductionmentioning

confidence: 99%

A Random Forest-Based Accuracy Prediction Model for Augmented Biofeedback in a Precision Shooting Training System

Guo

Lan

Umek

et al. 2020

Sensors

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In the military, police, security companies, and shooting sports, precision shooting training is of the outmost importance. In order to achieve high shooting accuracy, a lot of training is needed. As a result, trainees use a large number of cartridges and a considerable amount of time of professional trainers, which can cost a lot. Our motivation is to reduce costs and shorten training time by introducing an augmented biofeedback system based on machine learning techniques. We are designing a system that can detect and provide feedback on three types of errors that regularly occur during a precision shooting practice: excessive hand movement error, aiming error and triggering error. The system is designed to provide concurrent feedback on the hand movement error and terminal feedback on the other two errors. Machine learning techniques are used innovatively to identify hand movement errors; the other two errors are identified by the threshold approach. To correct the excessive hand movement error, a precision shot accuracy prediction model based on Random Forest has proven to be the most suitable. The experimental results show that: (1) the proposed Random Forest (RF) model achieves the prediction accuracy of 91.27%, higher than any of the other reference models, and (2) hand movement is strongly related to the accuracy of precision shooting. Appropriate use of the proposed augmented biofeedback system will result in a lower number of rounds used and shorten the precision shooting training process.

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“… Matos et al (2019) suggested that a smartphone recommendation system could prevent potential risks of injury for athletes. Kidman et al (2016) found that wearing a device with inertial-motion tracking and vibro-tactile feedback increased the accuracy of diving movements in athletes. In a review of studies of performance support apps, Peart et al (2019) reported various mobile apps supporting improvement of performance by measuring heart rate, range of motion, barbell velocity, vertical jump, running mechanism, and distances during walking, jogging, and running.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, smartphone use can also improve athletic performance and general life. Smartphone apps are actively used to measure neuromuscular performance, assess vital signals, prevent injury, and improve skills ( Kidman et al, 2016 ; Driller et al, 2017 ; Perrotta et al, 2017 ; Matos et al, 2019 ). Using these apps may improve the competition process and the quality of training in athletes.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Smartphone App-Use Patterns on the Performance of Professional Golfers

et al. 2021

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Smartphone app-use patterns will predict professional golfers’ athletic performance, and the use time of serious apps would be associated with improved performance. This longitudinal 4-week observation of 79 professional golfers assessed golf handicaps and smartphone app-use patterns at the start of the Korean professional golf season and 2 and 4 weeks later. We classified use as social networking, entertainment, serious apps, and others. Use time of entertainment apps increased for non-improved golfers but did not change for improved golfers. Use time of serious apps increased for improved golfers and decreased for non-improved ones. Changes in golf handicaps were positively correlated with changes in entertainment app use time and negatively correlated with changes in serious app use time. Professional golfers’ sports performance was not associated with smartphone use time but was with the smartphone app type. The management of smartphone app-use patterns is important for professional golfers’ performance.

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A wearable device with inertial motion tracking and vibro-tactile feedback for aesthetic sport athletes Diving Coach Monitor

Cited by 16 publications

References 13 publications

Epidemiology of Injuries in National Collegiate Athletic Association Women's Swimming and Diving: 2014–2015 Through 2018–2019

Epidemiology of Injuries in National Collegiate Athletic Association Women's Swimming and Diving: 2014–2015 Through 2018–2019

A Random Forest-Based Accuracy Prediction Model for Augmented Biofeedback in a Precision Shooting Training System

The Effect of Smartphone App-Use Patterns on the Performance of Professional Golfers

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