Activity identification and classification in wheelchair rugby using fractal dimensions

Chua, Julian J.C.; Fuss, Franz Konstantin; Subic, Aleksandar

doi:10.1007/s12283-016-0213-y

Cited by 6 publications

(9 citation statements)

References 25 publications

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“…El presente estudio tiene como objetivo llevar a cabo una revisión sistemática exploratoria relacionada con la valoración del rendimiento deportivo en RSR, y concretamente, con la aceleración (propulsión de la silla de ruedas), puesto que es uno de los factores mas importantes a la hora de analizar el rendimiento deportivo de los jugadores en los deportes en silla de ruedas (Haydon et al, 2018b). Además, el rendimiento deportivo en RSR puede verse influenciado por varios factores: la CF, el diseño de la silla de ruedas y el nivel de entrenamiento (Chua et al, 2016). Por ello, y gracias al entrenamiento, se pueden modificar las destrezas técnicas y tácticas, y mejorar el desempeño del jugador tanto en competiciones como en entrenamientos.…”

Section: Discussionunclassified

Evaluación del rendimiento deportivo en rugby en silla de ruedas. Revisión sistemática exploratoria

Gámez-Calvo

Hernández-Beltrán

Díaz-Valdes³

et al. 2021

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El estudio tiene por objetivo realizar una revisión sistemática exploratoria estructurada basada en los resultados encontrados en torno a los términos Rugby en Silla de Ruedas, Rendimiento y Aceleración. Para llevar a cabo la búsqueda de los documentos, se emplearon las siguientes palabras clave: “Wheelchair Rugby”, “Performance” y “Acceleration”. Para ello, los documentos fueron buscados en diferentes bases de datos: Scopus, Web of Science y SPORTDiscus. Con el objetivo de centrar la búsqueda en relación con el objetivo de estudio, se establecieron una serie de criterios de inclusión: i) Mencionar al menos alguna de las características del rendimiento en rugby en silla de ruedas (mínimo 20 palabras), ii) Seleccionar documentos relacionados con el Rugby en Silla de Ruedas, iii) Estar disponibles a texto completo o con resumen, y iiii) Estar escrito en español, inglés o portugués. Siendo elegibles los artículos publicados hasta junio de 2021. En conclusión, los documentos sobre rendimiento en rugby en silla de ruedas abordan tópicos de investigación diferentes que reportan los principales factores de rendimiento en este deporte.

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Section: Discussionunclassified

Evaluación del rendimiento deportivo en rugby en silla de ruedas. Revisión sistemática exploratoria

Gámez-Calvo

Hernández-Beltrán

Díaz-Valdes³

et al. 2021

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“…Screening of the selected papers and the 23 reviews produced 77 additional papers. As a result, 286 studies were identified for inclusion in the systematic review [ 24 , 41 , 43 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 , 98 , 99 , 100 , 101 , ...…”

Section: Trendsmentioning

confidence: 99%

“…automatic detection and classification of sports activities during wheelchair rugby matches [ 94 ] and team sport activities [ 326 ]…”

Section: Trendsmentioning

confidence: 99%

“…Supervised approaches train the classification system using a set of data with a known classification. The classifiers of this kind used in the revised literature are decision trees (random forest training algorithms [ 52 , 326 ], logistic model trees [ 232 , 326 ]); stepwise discriminant analysis of principal components [ 184 ]; k-Nearest Neighbour algorithms (IBk [ 232 ], Lazy IBk [ 52 ]); Artificial Neural Networks (RBF Network [ 52 ], MLP network [ 232 ]); Support Vector Machines [ 176 , 232 , 326 ]; Naïve Bayesian classifiers [ 52 , 154 , 232 ]; fractals [ 94 ]; Hidden Markov or Semi-Markov models [ 171 , 304 ]; and Hidden Conditional Random Field [ 176 ].…”

Section: Trendsmentioning

confidence: 99%

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Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review

Camomilla

Bergamini

Fantozzi

et al. 2018

Sensors

389

302

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Recent technological developments have led to the production of inexpensive, non-invasive, miniature magneto-inertial sensors, ideal for obtaining sport performance measures during training or competition. This systematic review evaluates current evidence and the future potential of their use in sport performance evaluation. Articles published in English (April 2017) were searched in Web-of-Science, Scopus, Pubmed, and Sport-Discus databases. A keyword search of titles, abstracts and keywords which included studies using accelerometers, gyroscopes and/or magnetometers to analyse sport motor-tasks performed by athletes (excluding risk of injury, physical activity, and energy expenditure) resulted in 2040 papers. Papers and reference list screening led to the selection of 286 studies and 23 reviews. Information on sport, motor-tasks, participants, device characteristics, sensor position and fixing, experimental setting and performance indicators was extracted. The selected papers dealt with motor capacity assessment (51 papers), technique analysis (163), activity classification (19), and physical demands assessment (61). Focus was placed mainly on elite and sub-elite athletes (59%) performing their sport in-field during training (62%) and competition (7%). Measuring movement outdoors created opportunities in winter sports (8%), water sports (16%), team sports (25%), and other outdoor activities (27%). Indications on the reliability of sensor-based performance indicators are provided, together with critical considerations and future trends.

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“…Several Paralympic sports have initiated evidence-based classification research taking into consideration measures of both physical impairment and performance. Among them there are wheelchair racing [10,11], wheelchair rugby [12][13][14][15], athletics [16,17], throwing [18], and swimming [19]. In cross-country sit skiing few studies aim to propose scientific evidence to support a classification system.…”

Section: Introductionmentioning

confidence: 99%

Evaluating objective measures of impairment to trunk strength and control for cross-country sit skiing

et al. 2021

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In Paralympic cross-country sit skiing, athlete classification is performed by an expert panel, so it may be affected by subjectivity. An evidence-based classification is required, in which objective measures of impairment must be identified. The purposes of this study were: (i) to evaluate the reliability of 5 trunk strength measures and 18 trunk control measures developed for the purposes of classification; (ii) to rank the objective measures, according to the largest effects on performance. Using a new testing device, 14 elite sit-skiers performed two upright seated press tests and one simulated poling test to evaluate trunk strength. They were also subjected to unpredictable balance perturbations to measure trunk control. Tests were repeated on two separate days and test–retest reliability of trunk strength and trunk control measures was evaluated. A cluster analysis was run and correlation was evaluated, including all strength and control measures, to identify the measures that contributed most to clustering participants. Intraclass correlations coefficients (ICC) were 0.71 < ICC < 0.98 and 0.83 < ICC < 0.99 for upright seated press and perturbations, respectively. Cluster analysis identified three clusters with relevance for strength and balance control measures. For strength, in upright seated press peak anterior pushing force without backrest (effect size = 0.77) and ratio of peak anterior pushing force without and with backrest (effect size = 0.72) were significant. For balance control measures, trunk range of motion in forward (effect size = 0.81) and backward (effect size = 0.75) perturbations also contributed. High correlations (− 0.76 < r < − 0.53) were found between strength and control measures. The new testing device, protocol, and the cluster analysis show promising results in assessing impairment of trunk strength and control to empower an evidence-based classification.

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Activity identification and classification in wheelchair rugby using fractal dimensions

Cited by 6 publications

References 25 publications

Evaluación del rendimiento deportivo en rugby en silla de ruedas. Revisión sistemática exploratoria

Evaluación del rendimiento deportivo en rugby en silla de ruedas. Revisión sistemática exploratoria

Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review

Evaluating objective measures of impairment to trunk strength and control for cross-country sit skiing

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