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IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements

Author

Listed:
  • Alina Miron

    (Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, UK
    These authors contributed equally to this work.)

  • Noureddin Sadawi

    (Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, UK
    Biotechnology Research Center, Tripoli TIP3644, Libya
    These authors contributed equally to this work.)

  • Waidah Ismail

    (International Halal and Fatwa Center, Universiti Sains Islam, Nilai 71800, Malaysia
    Faculty of Science and Technology, Universiti Sains Islam, Nilai 71800, Malaysia
    Information System Study Program, Universitas Airlangga, Indonesia Kampus C, Surabaya, Jawa Timur 60115, Indonesia)

  • Hafez Hussain

    (Perkeso Rehabilitation Centre, Bemban, Melaka 75450, Malaysia)

  • Crina Grosan

    (Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, UK)

Abstract

In this article, we present a dataset that comprises different physical rehabilitation movements. The dataset was captured as part of a research project intended to provide automatic feedback on the execution of rehabilitation exercises, even in the absence of a physiotherapist. A Kinect motion sensor camera was used to record gestures. The dataset contains repetitions of nine gestures performed by 29 subjects, out of which 15 were patients and 14 were healthy controls. The data are presented in an easily accessible format, provided as 3D coordinates of 25 body joints along with the corresponding depth map for each frame. Each movement was annotated with the gesture type, the position of the person performing the gesture (sitting or standing) as well as a correctness label. The data are publicly available and were released with to provide a comprehensive dataset that can be used for assessing the performance of different patients while performing simple movements in a rehabilitation setting and for comparing these movements with a control group of healthy individuals.

Suggested Citation

  • Alina Miron & Noureddin Sadawi & Waidah Ismail & Hafez Hussain & Crina Grosan, 2021. "IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements," Data, MDPI, vol. 6(5), pages 1-13, April.
    • Handle: RePEc:gam:jdataj:v:6:y:2021:i:5:p:46-:d:546873
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    References listed on IDEAS

    as
    1. Aleksandar Vakanski & Hyung-pil Jun & David Paul & Russell Baker, 2018. "A Data Set of Human Body Movements for Physical Rehabilitation Exercises," Data, MDPI, vol. 3(1), pages 1-15, January.
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    Cited by:

    1. Aleksandr Ometov & Joaquín Torres-Sospedra, 2022. "Measurements of User and Sensor Data from the Internet of Things (IoT) Devices," Data, MDPI, vol. 7(5), pages 1-3, April.

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