Mostrar el registro sencillo del ítem
The Q-Pass Index: A Multifactorial IMUs-Based Tool to Assess Passing Skills in Basketball
dc.contributor.author | Quiléz Maimón, Arturo | |
dc.contributor.author | Rojas Ruiz, Francisco Javier | |
dc.contributor.author | Delgado-García, Gabriel | |
dc.contributor.author | Courel Ibáñez, Javier | |
dc.date.accessioned | 2021-07-09T11:33:54Z | |
dc.date.available | 2021-07-09T11:33:54Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Quílez-Maimón, A.; Rojas-Ruiz, F.J.; Delgado-García, G.; Courel-Ibáñez, J. The Q-Pass Index: A Multifactorial IMUs-Based Tool to Assess Passing Skills in Basketball. Sensors 2021, 21, 4601. https:// doi.org/10.3390/s21134601 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10481/69634 | |
dc.description.abstract | Despite being a key sport-specific characteristic in performance, there is no practical tool to assess the quality of the pass in basketball. The aim of this study is to develop a tool (the quality-pass index or Q-Pass) able to deliver a quantitative, practical measure of passing skills quality based on a combination of accuracy, execution time and pass pattern variability. Temporal, kinematics and performance parameters were analysed in five different types of passes (chest, bounce, crossover, between-the-leg and behind-the-back) using a field-based test, video cameras and body-worn inertial sensors (IMUs). Data from pass accuracy, time and angular velocity were collected and processed in a custom-built excel spreadsheet. The Q-pass index (0–100 score) resulted from the sum of the three factors. Data were collected from 16 young basketball players (age: 16 ± 2 years) with high (experienced) and low (novice) level of expertise. Reliability analyses found the Q-pass index as a reliable tool in both novice (CV from 4.3 to 9.3%) and experienced players (CV from 2.8 to 10.2%). Besides, important differences in the Q-pass index were found between players’ level (p < 0.05), with the experienced showing better scores in all passing situations: behind-the-back (ES = 1.91), bounce (ES = 0.82), between-the-legs (ES = 1.11), crossover (ES = 0.58) and chest (ES = 0.94). According to these findings, the Q-pass index was sensitive enough to identify the differences in passing skills between young players with different levels of expertise, providing a numbering score for each pass executed. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | Atribución 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Biomechanics | es_ES |
dc.subject | Motor control | es_ES |
dc.subject | 3D analysis | es_ES |
dc.subject | Team sports | es_ES |
dc.subject | Gyroscope | es_ES |
dc.subject | Accelerometers | es_ES |
dc.title | The Q-Pass Index: A Multifactorial IMUs-Based Tool to Assess Passing Skills in Basketball | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.doi | 10.3390/s21134601 |