Next Article in Journal
CoeViz: A Web-Based Integrative Platform for Interactive Visualization of Large Similarity and Distance Matrices
Previous Article in Journal
World Ocean Isopycnal Level Absolute Geostrophic Velocity (WOIL-V) Inverted from GDEM with the P-Vector Method
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Data
Volume 3
Issue 1
10.3390/data3010002
data-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Data Descriptor

A Data Set of Human Body Movements for Physical Rehabilitation Exercises

by
Aleksandar Vakanski
1,*,†,
Hyung-pil Jun
2,†,
David Paul
2,† and
Russell Baker
2,†
1
Industrial Technology, University of Idaho, 1776 Science Center Drive, Idaho Falls, ID 83402, USA
2
Department of Movement Sciences, University of Idaho, 875 Perimeter Drive, Moscow, ID 83844, USA
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Data 2018, 3(1), 2; https://doi.org/10.3390/data3010002
Submission received: 10 November 2017 / Revised: 8 January 2018 / Accepted: 8 January 2018 / Published: 11 January 2018
Browse Figures
Versions Notes

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 movement data set; physical therapy exercises; physical rehabilitation; motion capturing; human skeletons

Share and Cite

MDPI and ACS Style

Vakanski, A.; Jun, H.-p.; Paul, D.; Baker, R. A Data Set of Human Body Movements for Physical Rehabilitation Exercises. Data 2018, 3, 2. https://doi.org/10.3390/data3010002

AMA Style

Vakanski A, Jun H-p, Paul D, Baker R. A Data Set of Human Body Movements for Physical Rehabilitation Exercises. Data. 2018; 3(1):2. https://doi.org/10.3390/data3010002

Chicago/Turabian Style

Vakanski, Aleksandar, Hyung-pil Jun, David Paul, and Russell Baker. 2018. "A Data Set of Human Body Movements for Physical Rehabilitation Exercises" Data 3, no. 1: 2. https://doi.org/10.3390/data3010002

APA Style

Vakanski, A., Jun, H.-p., Paul, D., & Baker, R. (2018). A Data Set of Human Body Movements for Physical Rehabilitation Exercises. Data, 3(1), 2. https://doi.org/10.3390/data3010002

Article Metrics

Back to TopTop