Kinder-Gator: The UF Kinect Database of Child and Adult Motion

Abstract
Research has suggested that children's whole-body motions are different from those of adults. However, research on children's motions, and how these motions differ from those of adults, is limited. One possible reason for this limited research is that there are few motion capture (mocap) datasets for children, with most datasets focusing on adults instead. There are even fewer datasets that have both children's and adults' motions to allow for comparison between them. To address these problems, we present Kinder-Gator, a new dataset of ten children and ten adults performing whole-body motions in front of the Kinect v1.0. The data contains RGB and 3D joint positions for 58 motions, such as wave, walk in place, kick, and point, which have been manually labeled according to the category of the participant (child vs. adult), and the motion being performed. We believe this dataset will be useful in supporting research and applications in animation and whole-body motion recognition and interaction.
Description

        
@inproceedings{
10.2312:egs.20181033
, booktitle = {
EG 2018 - Short Papers
}, editor = {
Diamanti, Olga and Vaxman, Amir
}, title = {{
Kinder-Gator: The UF Kinect Database of Child and Adult Motion
}}, author = {
Aloba, Aishat
and
Flores, Gianne
and
Woodward, Julia
and
Shaw, Alex
and
Castonguay, Amanda
and
Cuba, Isabella
and
Dong, Yuzhu
and
Jain, Eakta
and
Anthony, Lisa
}, year = {
2018
}, publisher = {
The Eurographics Association
}, ISSN = {
1017-4656
}, ISBN = {}, DOI = {
10.2312/egs.20181033
} }
Citation