Formularz do publikacji pracowników PL dostępny TUTAJ

Szczegóły publikacji


Algorithms for tennis racket analysis based on motion data

Autorzy: Maria Skublewska-Paszkowska, Edyta Łukasik, Jakub Smołka
Typ: Artykuł
Wersja dokumentu: Drukowana | Elektroniczna
Rok wydania: 2016
Nr czasopisma: 31
Wolumen: 10
Strony: 255 - 262
Abstrakt: EN
Modern technologies, such as motion capture systems (both optical and markerless), are more and more frequently used for athlete performance analysis due to their great precision. Optical systems based on the retro-reflective markers allow for tracking motion of multiple objects of various types. These systems compute human kinetic and kinematic parameters based on biomechanical models. Tracking additional objects like a tennis racket is also a very important aspect for analysing the player’s technique and precision. The motion data gathered by motion capture systems may be used for analysing various aspects that may not be recognised by the human eye or a video camera. This paper presents algorithms for analysis of a tennis racket motion during two of the most important tennis strokes: forehand and backhand. An optical Vicon system was used for obtaining the motion data which was the input for the algorithms. They indicate: the velocity of a tennis racket’s head and the racket’s handle based on the trajectories of attached markers as well as the racket’s orientation. The algorithms were implemented and tested on the data obtained from a professional trainer who participated in the research and performed a series of ten strikes, separately for: 1) forehand without a ball, 2) backhand without a ball, 3) forehand with a ball and 4) backhand with a ball. The computed parameters are gathered in tables and visualised in a graph
Publikacja do: modułu sprawozdawczego PBN
Open Access: TAK
Sposób udostępnienia: Otwarte czasopismo
Wersja tekstu: Ostateczna wersja opublikowana
Licencja: Creative Commons - Uznanie Autorstwa (CC-BY)
Czas opublikowania w Open Access: W momencie opublikowania
Liczba miesięcy od opublikowania do udostępnienia: 0
Materiał konferencyjny: NIE
Bazy: Web of Science Core Collection, BazTEch