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Published August 1, 2020 | Version 1.0.0
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IntelliRehabDS - A dataset of physical rehabilitation movements

  • 1. Brunel University London
  • 2. Universiti Sains Islam Malaysia, Malaysia
  • 3. Perkeso Rehabilitation Centre, Malacca, Malaysia

Description

IntelliRehabDS:  a  physical rehabilitation movements  dataset
This dataset contains 3D skeleton joints positions of 15 patients and 14 healthy persons while performing a few simple exercises. The data was recorded using a Kinect Sensor. Each exercise has been annotated with the movement type along with a label showing if the movement was executed correctly or not. The annotations were carried out independently by two annotators.
The dataset is presented as a collection of .csv files, where each file represents one exercise performed by one person.  The nomenclature of the files is the following: SubjectID_DateID_GestureLabel_RepetitionNumber_CorrectLabel_Position.txt
SubjectID: id uniquely identifying the person performing the exercise
DateID: id identifying the session in which the person was recorded
GestureLabel: Label identifying the gesture; possible values are from 0 to 8
RepetitionNumber: Each gesture was repeated several times and this shows the repetition number
CorrectLabel: A value of 1 represents a gesture labeled as being correctly executed, while a value of 2 is for a gesture labeled as incorrect
Position: Some of the persons performed the gestures sitting on a chair or wheelchair, while others standing

 

Notes

GitHub repository for basic exploratory data analysis: https://github.com/alina-miron/intellirehabds

Files

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