IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements
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 sens...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Data |
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| Online Access: | https://www.mdpi.com/2306-5729/6/5/46 |
| _version_ | 1797535612748693504 |
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| author | Alina Miron Noureddin Sadawi Waidah Ismail Hafez Hussain Crina Grosan |
| author_facet | Alina Miron Noureddin Sadawi Waidah Ismail Hafez Hussain Crina Grosan |
| author_sort | Alina Miron |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T11:47:54Z |
| format | Article |
| id | doaj.art-1f8ba5b3dffd4abba8286f2e680f18b6 |
| institution | Directory Open Access Journal |
| issn | 2306-5729 |
| language | English |
| last_indexed | 2024-03-10T11:47:54Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Data |
| spelling | doaj.art-1f8ba5b3dffd4abba8286f2e680f18b62023-11-21T17:55:13ZengMDPI AGData2306-57292021-04-01654610.3390/data6050046IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation MovementsAlina Miron0Noureddin Sadawi1Waidah Ismail2Hafez Hussain3Crina Grosan4Department of Computer Science, Brunel University London, Uxbridge UB8 3PH, UKDepartment of Computer Science, Brunel University London, Uxbridge UB8 3PH, UKInternational Halal and Fatwa Center, Universiti Sains Islam, Nilai 71800, MalaysiaPerkeso Rehabilitation Centre, Bemban, Melaka 75450, MalaysiaDepartment of Computer Science, Brunel University London, Uxbridge UB8 3PH, UKIn 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.https://www.mdpi.com/2306-5729/6/5/46movement datasethuman gesture datasetphysical rehabilitationmotion capturingphysical therapy exercises |
| spellingShingle | Alina Miron Noureddin Sadawi Waidah Ismail Hafez Hussain Crina Grosan IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements Data movement dataset human gesture dataset physical rehabilitation motion capturing physical therapy exercises |
| title | IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements |
| title_full | IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements |
| title_fullStr | IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements |
| title_full_unstemmed | IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements |
| title_short | IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements |
| title_sort | intellirehabds irds a dataset of physical rehabilitation movements |
| topic | movement dataset human gesture dataset physical rehabilitation motion capturing physical therapy exercises |
| url | https://www.mdpi.com/2306-5729/6/5/46 |
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