A tennis action dataset: competitive performance of Caldas-Colombia tennis players
The MoCap data were collected from 17 players: five labeled as high performance (HP) and 12 more as regular (RP). The employed motion capture protocol was Biovision Hierarchy (BVH), stipulating the placement of 34 markers defined by Arena software. Optitrack Flex V100 (100 Hz) infrared videography was acquired at sagittal, frontal, and lateral planes. All subjects were encouraged to hit the ball as they would in a match. They were instructed to hit one series of the same tennis stroke per 30 seconds. The process was repeated with all six tennis gestures.
The data process, trajectoring, and skeletonization of each player were executed in Arena too. The exported BVH file has the trajectories and a skeleton with 23 3D-points of interest (body joints and terminal points).
Maintener: Juan Diego Pulgarin-Giraldo, Universidad Autónoma de Occidente, Colombia
Contributors:
- Sergio Garcia-Vega, Universidad Nacional de Colombia Sede Manizales, Colombia
- Luis Gerardo Melo-Betancourt, Universidad de Caldas, Colombia
- Santiago Ramos-Bermudez, Universidad de Caldas, Colombia
- Andres Marino Alvarez-Meza, Universidad Nacional de Colombia Sede Manizales, Colombia
- German Castellanos, Universidad Nacional de Colombia Sede Manizales, Colombia
Licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.
If you publish results obtained using this data, please cite
Pulgarin-Giraldo J.D., Alvarez-Meza A.M., Melo-Betancourt L.G., Ramos-Bermudez S., Castellanos-Dominguez G. A Similarity Indicator for Differentiating Kinematic Performance Between Qualified Tennis Players. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10125 LNCS, pp. 309-317, 2017 https://doi.org/10.1007/978-3-319-52277-7_38