A Data Set of Human Body Movements for Physical Rehabilitation Exercises

Aleksandar Vakanski, Hyung-pil Jun, David Paul and Russell Baker
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Aleksandar Vakanski: Industrial Technology, University of Idaho, 1776 Science Center Drive, Idaho Falls, ID 83402, USA
Hyung-pil Jun: Department of Movement Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA
David Paul: Department of Movement Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA
Russell Baker: Department of Movement Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA

Data, 2018, vol. 3, issue 1, 1-15

Abstract: 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.

Keywords: movement data set; physical therapy exercises; physical rehabilitation; motion capturing; human skeletons (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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