Machine Learning in Team Sports [[electronic resource] ] : Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw / / by Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Norlaila Azura Kosni, Mohamad Razali Abdullah
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| Autore: |
Muazu Musa Rabiu
|
| Titolo: |
Machine Learning in Team Sports [[electronic resource] ] : Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw / / by Rabiu Muazu Musa, Anwar P.P. Abdul Majeed, Norlaila Azura Kosni, Mohamad Razali Abdullah
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| Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (x, 61 pages) : illustrations |
| Disciplina: | 006.3 |
| Soggetto topico: | Computational intelligence |
| Sports | |
| Computer simulation | |
| Sports—Psychological aspects | |
| Biomedical engineering | |
| Application software | |
| Computational Intelligence | |
| Sport | |
| Simulation and Modeling | |
| Sport Psychology | |
| Biomedical Engineering and Bioengineering | |
| Computer Appl. in Social and Behavioral Sciences | |
| Persona (resp. second.): | P.P. Abdul MajeedAnwar |
| KosniNorlaila Azura | |
| AbdullahMohamad Razali | |
| Nota di contenuto: | An Overview of Beach Soccer, Sepak Takraw and the Application of Machine Learning in Team Sports -- Key performance indicators in elite beach soccer -- Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer -- Identifying talent in sepak takraw via Anthropometry indexes -- Physical fitness parameters in the identification of high potential sepak takraw players -- Relationship between psycho-maturity and performance of sepak takraw -- Concluding Remarks. |
| Sommario/riassunto: | This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments. . |
| Titolo autorizzato: | Machine Learning in Team Sports |
| ISBN: | 981-15-3219-2 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483518203321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
SpringerBriefs in Applied Sciences and Technology, . 2191-530X