A Data Set of Human Body Movements for Physical Rehabilitation Exercises

• Published in: Data (Basel) Vol. 3; no. 1; p. 2
• Main Authors: Vakanski, Aleksandar, Jun, Hyung-pil, Paul, David, Baker, Russell
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.03.2018
• Subjects: Algorithms; Artificial intelligence; Automation; Business metrics; Cameras; Data acquisition; Datasets; Exercise; human skeletons; motion capturing; movement data set; Pain; Patients; Performance measurement; Physical fitness; physical rehabilitation; Physical therapy; physical therapy exercises; Rehabilitation; Sensors; United States > US; physical rehabilitation; physical therapy exercises; motion capturing; human skeletons; movement data set
• ISSN: 2306-5729; 2306-5729
• DOI: 10.3390/data3010002

The article presents University of Idaho-Physical Rehabilitation Movement Data (UI-PRMD), a publically available data set of movements related to common exercises performed by patients in physical rehabilitation programs. For the data collection, 10 healthy subjects performed 10 repetitions of different physical therapy movements with a Vicon optical tracker and a Microsoft Kinect sensor used for the motion capturing. The data are in a format that includes positions and angles of full-body joints. The objective of the data set is to provide a basis for mathematical modeling of therapy movements, as well as for establishing performance metrics for evaluation of patient consistency in executing the prescribed rehabilitation exercises.