TST TUG dataset

Citation Author(s):
Enea Cippitelli, Ennio Gambi, Samuele Gasparrini, Susanna Spinsante
Submitted by:
Susanna Spinsante
Last updated:
Thu, 11/08/2018 - 10:34
DOI:
10.21227/H2KW2B
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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.jointty...)
  • 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.

Comments

Thanks for the useful dataset!
Would you please help me convert TStamp_Int_35EE to GMT time (hh:mm:ss)? When I do the conversion using typical converters, I get strange values. In fact the difference btw the first and last timestamps is more than 5 hours while a TUG test takes only a few seconds. I appreciate your help.

Submitted by Ali Sedaghatbaf on Thu, 07/29/2021 - 04:44