Methods for Trajectory Prediction in Table Tennis
| dc.contributor.author | Kaftanci, Mehmet Fatih | |
| dc.contributor.author | Günay, Melih | |
| dc.contributor.author | Öztimur Karada?, Özge | |
| dc.date.accessioned | 2026-01-24T12:20:51Z | |
| dc.date.available | 2026-01-24T12:20:51Z | |
| dc.date.issued | 2021 | |
| dc.department | Alanya Alaaddin Keykubat Üniversitesi | |
| dc.description.abstract | Training and skill improvement is totally about finding a valuable partner in table tennis. It is difficult to find a partner who has various of good technical skills, teaching capacity to improve your skills, and whose training hours are compatible. Thus, so many researchers improve several methods and systems to solve this deficiency with robot table tennis. This paper provides a review of the common methods and systems then tries to explain how far these methods are from the solution that the professional/semiprofessional table tennis players expected. Some researchers are focused on the whole system, some study on a specific part of the problem. So this review provides a category-based approach to this subject and gives information about the last situation. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG. | |
| dc.description.sponsorship | Akdeniz Üniversitesi | |
| dc.identifier.doi | 10.1007/978-3-030-79357-9_64 | |
| dc.identifier.endpage | 704 | |
| dc.identifier.issn | 2367-4512 | |
| dc.identifier.scopus | 2-s2.0-85109817287 | |
| dc.identifier.scopusquality | Q3 | |
| dc.identifier.startpage | 696 | |
| dc.identifier.uri | https://doi.org/10.1007/978-3-030-79357-9_64 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12868/4635 | |
| dc.identifier.volume | 76 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | |
| dc.relation.ispartof | Lecture Notes on Data Engineering and Communications Technologies | |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20260121 | |
| dc.subject | Artificial intelligence | |
| dc.subject | Artificial neural networks | |
| dc.subject | Machine vision | |
| dc.subject | Object detection | |
| dc.subject | Object tracking | |
| dc.subject | Table tennis robot | |
| dc.subject | Trajectory prediction | |
| dc.title | Methods for Trajectory Prediction in Table Tennis | |
| dc.type | Book Chapter |
