Frontal depth images for an assessment of Gait Energy Volume (GEV)

This dataset was gathered to explore the application of frontally acquired depth images to an assessment of Gait Energy Volumes. The dataset consists of 15 subjects walking towards a camera at two different speeds, 'normal' and 'fast'. Five sequences were recorded for each subject and class, with each sequence covering an average of two to three gait cycles. The dataset is captured at approximately 30 fps using the Microsoft Kinect. Colour video was also recorded but was not used. | Provider's Access Rights: In addition to citing our paper, we kindly request that the following text be included in an acknowledgements section at the end of your publications: We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT-DGD database for our research.