1 resultado para tennis competition
em CORA - Cork Open Research Archive - University College Cork - Ireland
Filtro por publicador
- Aberystwyth University Repository - Reino Unido (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (7)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (7)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (8)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (8)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (208)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (11)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (77)
- Boston University Digital Common (1)
- Brock University, Canada (9)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Cambridge University Engineering Department Publications Database (14)
- CentAUR: Central Archive University of Reading - UK (66)
- Center for Jewish History Digital Collections (1)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (30)
- Coffee Science - Universidade Federal de Lavras (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (21)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (116)
- Department of Computer Science E-Repository - King's College London, Strand, London (1)
- Digital Commons - Michigan Tech (1)
- Digital Commons @ DU | University of Denver Research (3)
- Digital Peer Publishing (2)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@University of Nebraska - Lincoln (2)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (6)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (6)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (47)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (9)
- Indian Institute of Science - Bangalore - Índia (9)
- Instituto Politécnico do Porto, Portugal (5)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Ministerio de Cultura, Spain (7)
- National Center for Biotechnology Information - NCBI (14)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (5)
- Publishing Network for Geoscientific & Environmental Data (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (84)
- Queensland University of Technology - ePrints Archive (60)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (30)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (40)
- Research Open Access Repository of the University of East London. (4)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (5)
- SAPIENTIA - Universidade do Algarve - Portugal (1)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (4)
- Universidad Politécnica de Madrid (13)
- Universidade Complutense de Madrid (2)
- Universitat de Girona, Spain (3)
- Université de Lausanne, Switzerland (3)
- Université de Montréal, Canada (6)
- University of Connecticut - USA (3)
- University of Queensland eSpace - Australia (1)
- University of Southampton, United Kingdom (2)
- University of Washington (3)
- WestminsterResearch - UK (2)
Resumo:
In this work, we investigate tennis stroke recognition using a single inertial measuring unit attached to a player’s forearm during a competitive match. This paper evaluates the best approach for stroke detection using either accelerometers, gyroscopes or magnetometers, which are embedded into the inertial measuring unit. This work concludes what is the optimal training data set for stroke classification and proves that classifiers can perform well when tested on players who were not used to train the classifier. This work provides a significant step forward for our overall goal, which is to develop next generation sports coaching tools using both inertial and visual sensors in an instrumented indoor sporting environment.