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008			170904s2018 gw | s |||| 0|eng d
020			_a9783319678467
024	7		_a10.1007/978-3-319-67846-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA75.5 .I58 2018 EB
245	1	0	_aProceedings of the 11th International Symposium on Computer Science in Sport (IACSS 2017) _cedited by Martin Lames, Dietmar Saupe, Josef Wiemeyer.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (X, 170 páginas 66 ilustraciones)
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v663
490	0		_aEngineering (Springer-11647)
505	0		_aInvited lectures -- An Empirical Analysis on European Odds of English Premier League -- Study on the "Hot Match" Effect in Professional Football Leagues -- Artificial Neural Networks Predicting the Outcome of a Throwing Task - Effects of input quantity and quality -- Activity Recognition of Local Muscular Endurance (LME) Exercises using an Inertial Sensor -- Gait stability during shod and barefoot walking and running on a treadmill assessed by correlation entropy -- Statistical Models for Predicting short-term HR Responses to Submaximal interval exercise -- Information Systems for Top-Level Football with Focus on Performance Analysis and Healthy Reference Patterns -- Development of a Real-Time Analysis System for Monitoring Playing Time of Water Polo Players -- Reconstruction of 3D ball/shuttle position by two image points from a Single view -- A Comparison of Smoothing and Filtering Approaches Using Simulated Kinematic Data of Human Movements -- Missing Depth Cues in Virtual Reality Decrease Performance of Three-Dimensional Reaching Movements -- Students' use of and attitudes towards information and communication technologies in sport education - Cross-sectional surveys over the past 15 years -- A novel multilocus genetic model can predict Muscle fibers Composition.   .
520	3		_aThis book provides an overview of current research in the fascinating, interdisciplinary field of computer science and sports. It includes papers from the 11th International Symposium on Computer Science in Sport (IACSS 2017), which took place in Constance, Germany, on September 6-9, 2017. The papers represent the state of the art in utilizing the latest developments in computer science to support coaches and athletes. The book covers a broad range of topics, reflecting the diversity of the field.  It presents three categories of papers: those on concepts in informatics like modeling, virtual reality, simulation; those describing applications of computer science in sports like running, volleyball, water polo, and football; and contributions discussing the impact of computer science in sports federations and universities.  .
988			_aEBSPRINGER_2018
650		7	_aInformática _2embne _9139268
700	1		_aLames, Martin _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _0http://id.loc.gov/authorities/names/n97113292 _1http://viaf.org/viaf/35299252/ _979350
700	1		_aSaupe, Dietmar. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/54219208/
700	1		_aWiemeyer, Josef. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _1http://viaf.org/viaf/5563967/ _999750
776	0	8	_iEdición impresa: _z9783319678450
776	0	8	_iEdición impresa: _z9783319678474
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-67846-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b03/2019 _dz _ek _feng _ggw _h0