five

IntelliRehabDS - A dataset of physical rehabilitation movements

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://zenodo.org/record/3367227
下载链接
链接失效反馈
官方服务:
资源简介:
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   2022-01-06: Update: Patient with id 217 was excluded from the analysis in [1] because they had to stop the exercises mid recording. We have left the partial data recording in the published dataset.   The peer-reviewed data descriptor for this dataset has now been published in MDPI Data  and can be accessed here: https://www.mdpi.com/2306-5729/6/5/46. Please cite this when using the dataset [1] Miron, A., Sadawi, N., Ismail, W., Hussain, H. and Grosan, C., 2021. IntelliRehabDS (IRDS)—A Dataset of Physical Rehabilitation Movements. Data, 6(5), p.46.
创建时间:
2022-05-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作