東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Performance" ]

切換: 標籤 | MARC模式 | ISBD

Proceedings of the 9th International...

Baca, Arnold.

FindBook

Google Book

Amazon

博客來

Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS conference

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS conference/ edited by Arnold Baca ... [et al.].
其他作者:	Baca, Arnold.
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xiii, 184 p. :ill. (some col.), digital ;24 cm.
內容註:	Text mining and performance analysis -- Match Analysis 4.0 with Big Data: From Studies to Experiments -- Using machine learning to assess and compare athletes in team sports -- Kick it to Me, or Maybe Not - How Player Roles Affect AFL Possessions -- Predicting and understanding Australian Rules Football using Markov processes -- Exercise Evaluation using Time-of-Flight Image Data -- Improving springboard diving video classification accuracy through cumulated segment values -- How Sports Scientists Explain Their Choice of Wearable -- Physical and motivational effects of Exer-games in healthy adults: Overview of Reviews -- The Impact of Order of Performance on Peer-to-Peer Learning of a Lacrosse Ball Pick-Up Skill Through Video Analysis with University Students.
Contained By:	Springer Nature eBook
標題:	Sports sciences - Congresses. - Data processing -
電子資源:	https://doi.org/10.1007/978-3-030-99333-7
ISBN:	9783030993337

Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS conference
Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS conference[electronic resource] /edited by Arnold Baca ... [et al.]. - Cham :Springer International Publishing :2022. - xiii, 184 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,v. 14262194-5365 ;. - Advances in intelligent systems and computing ;v. 1426..

Text mining and performance analysis -- Match Analysis 4.0 with Big Data: From Studies to Experiments -- Using machine learning to assess and compare athletes in team sports -- Kick it to Me, or Maybe Not - How Player Roles Affect AFL Possessions -- Predicting and understanding Australian Rules Football using Markov processes -- Exercise Evaluation using Time-of-Flight Image Data -- Improving springboard diving video classification accuracy through cumulated segment values -- How Sports Scientists Explain Their Choice of Wearable -- Physical and motivational effects of Exer-games in healthy adults: Overview of Reviews -- The Impact of Order of Performance on Peer-to-Peer Learning of a Lacrosse Ball Pick-Up Skill Through Video Analysis with University Students.

This covers the PACSS 2021 which approached interdisciplinary collaboration between theoretical computer science and practical performance analysis though an online workshop and conference. Readers find in this book the peer-reviewed and discussed evidences on how computer scientists and performance analysts can and have worked together to solve both applied and research-based problems in elite sport, using the methods of computer science. In this edition, we organize the content according to four major topics: machine learning, text mining, best practice and interdisciplinary collaboration. This is a refined material written by leading experts with up-to-date overview of research in the multidisciplinary field of computer science and elite sport performance analysis.

ISBN: 9783030993337

Standard No.: 10.1007/978-3-030-99333-7doiSubjects--Topical Terms:

3296585
Sports sciences
--Data processing--Congresses.

LC Class. No.: GV558 / .P76 2022

Dewey Class. No.: 613.710285

Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS conference
LDR:02707nmm a2200337 a 4500 001 2300485
003 DE-He213
005 20220409121617.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030993337 $q (electronic bk.)
020 $a 9783030993320 $q (paper)
024 7 $a 10.1007/978-3-030-99333-7 $2 doi
035 $a 978-3-030-99333-7
040 $a GP $c GP
041 0 $a eng
050 4 $a GV558 $b .P76 2022
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 613.710285 $2 23
090 $a GV558 $b .P963 2022
245 0 0 $a Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS conference $h [electronic resource] / $c edited by Arnold Baca ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiii, 184 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5365 ; $v v. 1426
505 0 $a Text mining and performance analysis -- Match Analysis 4.0 with Big Data: From Studies to Experiments -- Using machine learning to assess and compare athletes in team sports -- Kick it to Me, or Maybe Not - How Player Roles Affect AFL Possessions -- Predicting and understanding Australian Rules Football using Markov processes -- Exercise Evaluation using Time-of-Flight Image Data -- Improving springboard diving video classification accuracy through cumulated segment values -- How Sports Scientists Explain Their Choice of Wearable -- Physical and motivational effects of Exer-games in healthy adults: Overview of Reviews -- The Impact of Order of Performance on Peer-to-Peer Learning of a Lacrosse Ball Pick-Up Skill Through Video Analysis with University Students.
520 $a This covers the PACSS 2021 which approached interdisciplinary collaboration between theoretical computer science and practical performance analysis though an online workshop and conference. Readers find in this book the peer-reviewed and discussed evidences on how computer scientists and performance analysts can and have worked together to solve both applied and research-based problems in elite sport, using the methods of computer science. In this edition, we organize the content according to four major topics: machine learning, text mining, best practice and interdisciplinary collaboration. This is a refined material written by leading experts with up-to-date overview of research in the multidisciplinary field of computer science and elite sport performance analysis.
650 0 $a Sports sciences $x Data processing $v Congresses. $3 3296585
650 0 $a Sports sciences $x Congresses. $3 667723
650 0 $a Computer science $v Congresses. $3 606819
650 0 $a Performance $v Congresses. $3 3488379
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Sport Science. $3 2132065
650 2 4 $a Health Informatics. $3 892928
700 1 $a Baca, Arnold. $3 3599024
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Advances in intelligent systems and computing ; $v v. 1426. $3 3599025
856 4 0 $u https://doi.org/10.1007/978-3-030-99333-7
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)