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WorkoutSU-10 Exercise Dataset




LeaderAytul Ercil
Team
  • Farhood Negin
  • Fırat Özdemir
  • Ceyhun Burak Akgül
  • Kamer Ali Yüksel
  • Aytül Erçil
Project VIPSAFE: Automated Visual Monitoring for Improving Patient SAFEty

ContactSend e-mail Aytul Ercil
Website http://vpa.sabanciuniv.edu/downloads/WorkoutSU-10
Database Description

Team: Farhood Negin, Fırat Özdemir, Ceyhun Burak Akgül, Kamer Ali Yüksel, Aytül Erçil
Organizations: Sabancı University VPA Lab (SU-VPA), Vistek ISRA Vision (VIV)
Web: http://vpa.sabanciuniv.edu/downloads/WorkoutSU-10/

Download:

  • The minimal dataset may be freely downloaded from here (84 MB).
  • The full database (142 GB) may be obtained by application from the contact person above.
Agreement: Any resulting publication which will use or refer to the database, should have a reference to the database, VIPSAFE Project, Sabanci University and VPALAB.

Introduction

The WorkoutSU-10 exercise dataset comprises a collection of sequences of human body movements represented by 3D positions of skeletal joints. The dataset was collected at Sabancı University in Istanbul as part of the research project ViPSafe supported partially by TÜBITAK (agreement 109E134).

 

If you use this dataset, the following paper should be cited in any resulting publication:

 

F. Negin, F. Özdemir, C. B. Akgül, K. A. Yüksel, A. Erçil

“A Decision Forest Based Feature Selection Framework for Action Recognition from RGB-Depth Cameras.”

Special Session on Recent Advances on RGB-D Camera Applications

International Conference on Image Analysis and Recognition (ICIAR 2013)


Dataset Description

The dataset comprises of 1500 sequences in total, collected from 15 people performing 10 different exercises. The motion files contain tracks of 20 joints estimated using the MS Kinect SDK. The body pose is captured at a sample rate of 30Hz.

Participants

The participants were recruited at the Computer Vision Laboratory at Sabancı University (VPALAB). All participants filled a consent form. Each recording session has taken 50 to 90 minutes. Some of the participants were already familiar with the domain of machine learning and computer vision. Relevant statistics of the participants are listed below:

·         73% male,

·         94% right-handed,

·         153-191cm tall with an average height of 179 cm,

·         20 to 30 years old with an average of 24 years of age.



For a full description please visit WorkoutSU-10 homepage
Related Papers
In the framework of the "WorkoutSU-10 Exercise Dataset" project, the following papers are published:

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