TST TUG dataset
- Citation Author(s):
- Submitted by:
- Susanna Spinsante
- Last updated:
- DOI:
- 10.21227/H2KW2B
- Data Format:
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Abstract
The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the execution of the timed up and go test.
Instructions:
The dataset is composed by the executions of the Timed Up and Go test by 20 young actors.
Each actor repeated each action 3 times, generating a total number of 60 sequences. For each sequence, the following data are available:
- depth frames, resolution of 512x424, captured by Kinect v2;
- raw acceleration stream, provided by an IMU constrained to the chest of the actor;
- skeleton joints in depth and skeleton space, captured by Microsoft SDK 2.0 (see JointType enumeration for the order: https://msdn.microsoft.com/en-us/library/microsoft.kinect.kinect.jointtype.aspx)
- timing information, timestamps of Kinect frames and acceleration samples, useful for synchronization
This code can be used to read data with MATLAB:
http://www.tlc.dii.univpm.it/dbkinect/TUG/MatlabScripts.zip
If you use the dataset, please cite the following paper:
E. Cippitelli, S. Gasparrini, E. Gambi, S. Spinsante, J. Wahslen, I. Orhan, and T. Lindh, “Time Synchronization and Data Fusion for RGB-Depth Cameras and Wearable Inertial Sensors in AAL Applications,” IEEE ICC2015 – Workshop on ICT-Enabled Services and Technologies for eHealth and Ambient Assisted Living, London (UK), 8-12 June 2015.
