Modeling manual wheelchair propulsion cost during straight and curvilinear trajectories dataset

Misch, Jacob; Huang, Morris; Sprigle, Stephen

Title:

Modeling manual wheelchair propulsion cost during straight and curvilinear trajectories dataset

dc.contributor.author	Misch, Jacob
dc.contributor.author	Huang, Morris
dc.contributor.author	Sprigle, Stephen
dc.contributor.corporatename	Georgia Institute of Technology. Rehabilitation Engineering and Applied Research (REAR) Lab	en_US
dc.date.accessioned	2020-05-11T12:45:41Z
dc.date.available	2020-05-11T12:45:41Z
dc.date.issued	2020-05-11
dc.description	This data was used in the manuscript submitted to the Public Library of Science (PLOS) ONE journal entitled "Modeling manual wheelchair propulsion cost during straight and curvilinear trajectories". This dataset contains component-level measurements, including inertial and energy loss parameters of drive wheels and casters, as well as system-level measurements of propulsion cost.	en_US
dc.description.abstract	Minimizing the effort to propel a manual wheelchair is important to all users in order to optimize the efficiency of maneuvering throughout the day. Assessing the propulsion cost of wheelchairs as a mechanical system is a key aspect of understanding the influences of wheelchair design and configuration. The objective of this study was to model the relationships between inertial and energy-loss parameters to the mechanical propulsion cost across different wheelchair configurations during straight and curvilinear trajectories. Inertial parameters of an occupied wheelchair and energy loss parameters of drive wheels and casters were entered into regression models representing three different maneuvers. A wheelchair-propelling robot was used to measure propulsion cost. General linear models showed strong relationships (R2 > 0.84) between the system-level costs of propulsion and the selected predictor variables representing sources of energy loss and inertial influences. System energy loss parameters were significant predictors in all three maneuvers. Yaw inertia was also a significant predictor during zero-radius turns. The results indicate that simple energy loss measurements can predict system-level performance, and inertial influences are mostly overshadowed by the increased resistive losses caused by added mass, though weight distribution can mitigate some of this added cost. Videos of the test methods used to collect this dataset (wheelchair-propelling robot performing the three maneuvers, coast-down cart test for rolling resistance, and the scrub torque test rig) can be found here: http://hdl.handle.net/1853/60553	en_US
dc.description.sponsorship	This work was supported by internal funding from the Rehabilitation Engineering and Applied Research (REAR) Lab.	en_US
dc.identifier.citation	J. Misch, M. Huang, and S. Sprigle, "Modeling manual wheelchair propulsion cost during straight and curvilinear trajectories," PLOS ONE, in press.	en_US
dc.identifier.uri	http://hdl.handle.net/1853/62572
dc.publisher	Georgia Institute of Technology	en_US
dc.relation.haspart	https://smartech.gatech.edu/handle/1853/60553
dc.subject	Manual wheelchair	en_US
dc.subject	Energy loss	en_US
dc.subject	Rolling resistance	en_US
dc.subject	Scrub torque	en_US
dc.subject	Propulsion cost	en_US
dc.subject	Statistical modeling	en_US
dc.title	Modeling manual wheelchair propulsion cost during straight and curvilinear trajectories dataset	en_US
dc.type	Dataset	en_US
dspace.entity.type	Publication
local.contributor.author	Sprigle, Stephen
local.contributor.author	Misch, Jacob
local.contributor.corporatename	College of Design
local.contributor.corporatename	School of Industrial Design
local.contributor.corporatename	Rehabilitation Engineering and Applied Research Lab (REAR Lab)
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