| 000 | 03252nam a22004455i 4500 | ||
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| 999 |
_c108126 _d108126 _x1 |
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| 001 | 108126 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102113334.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 171023s2018 gw | s |||| 0|eng d | ||
| 020 | _a9783319590295 | ||
| 024 | 7 |
_a10.1007/978-3-319-59029-5 _2doi |
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| 040 |
_bspa _dES-MaUEC _cES-MaUEC |
||
| 050 | 4 |
_aGV943 _b2018 EB |
|
| 100 | 1 |
_aClemente, Filipe Manuel _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _948524 |
|
| 245 | 1 | 0 |
_aComputational Metrics for Soccer Analysis : _bConnecting the dots _cby Filipe Manuel Clemente, João Bernardo Sequeiros, Acácio Correia, Frutuoso G. M. Silva, Fernando Manuel Lourenço Martins |
| 264 | 1 |
_aCham _bSpringer International Publishing : _bImprint: Springer _c2018 |
|
| 300 |
_a1 recurso en línea (XIII, 79 páginas) _b27 ilustraciones, 21 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto (visual) _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 0 |
_aSpringerBriefs in Applied Sciences and Technology _x2191-530X |
|
| 490 | 0 | _aEngineering (Springer-11647) | |
| 520 | _aThis book provides an account of the use of computational tactical metrics in improving sports analysis, in particular the use of Global Positioning System (GPS) data in soccer. As well as offering a practical perspective on collective behavioural analysis, it introduces the computational metrics available in the literature that allow readers to identify collective behaviour and patterns of play in team sports. These metrics only require the bio-dimensional geo-referencing information from GPS or video-tracking systems to provide qualitative and quantitative information about the tactical behaviour of players and the inter-relationships between teammates and their opponents. Exercises, experimental cases and algorithms enable readers to fully comprehend how to compute these metrics, as well as introducing them to the ultimate performance analysis tool, which is the basis to run them on. The script to compute the metrics is presented in Python. The book is a valuable resource for professional analysts as well students and researchers in the field of sports analysis wanting to optimise the use of GPS trackers in soccer. . | ||
| 988 | _aEBSPRINGER_ENGINEERING_FEB2019 | ||
| 650 | 7 |
_2embne _aFútbol _9140723 |
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| 650 | 7 | _2embne | |
| 700 | 1 |
_aSequeiros, João Bernardo _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aCorreia, Acácio _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aSilva, Frutuoso G. M _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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| 700 | 1 |
_aMartins, Fernando Manuel Lourenço _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _948525 |
|
| 710 | 2 |
_aSpringerLink (Online service) _9106996 |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783319590288 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319590301 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-59029-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b06/2019 _dz _feng _ggw _h0 |
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