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Simulation data used to quantify the effect of sagittal plane joint angle variability on bipedal fall risk
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Citation:
Citation_Information:
Originator:The Pennsylvania State University
Publication_Date:2021
Title:
Simulation data used to quantify the effect of sagittal plane joint angle variability on bipedal fall risk
Other_Citation_Details:
Amy Mitchell and Anne E. Martin
Online_Linkage: http://www.datacommons.psu.edu/
Description:
Abstract: 
Simulation data to investigate the effect of joint variability on planar biped falling. The six-link biped was controlled using hybrid zero dynamics. The variability at each joint for each step was described by a Fourier series with magnitude coefficients and a fundamental frequency. Different conditions were tested by varying the standard deviation of the Gaussian distribution describing the magnitude coefficients, the mean of the Gaussian distribution describing the fundamental frequency, and the standard deviation of the Gaussian distribution describing the fundamental frequency. High and low values of each factor were tested. A resolution IV fractional factorial experimental design was used to determine which sets of factors to test. This repository includes 10 sets of simulation runs. Gaits at three distinct walking speeds were tested. Simulations were performed until the biped fell or took 500 steps.
Supplemental_Information: 
Title: Quantifying the effect of sagittal plane joint angle variability on bipedal fall risk

Abstract: Falls are a major issue for bipeds. For elderly adults, falls can have a negative impact on their quality of life and lead to increased medical costs. Fortunately, interventional methods are effective at reducing falls assuming they are prescribed. For biped robots, falls prevent them from completing required tasks. Thus, it is important to understand what aspects of gait increase fall risk. Gait variability may be associated with increased fall risk; however, previous studies have not investigated the variation in the movement of the legs. The purpose of this study was to determine the effect of joint angle variability on falling to determine which component(s) of variability were statistically significant. In order to investigate joint angle variability, a physics-based simulation model that captured joint angle variability as a function of time through Fourier series was used. This allowed the magnitude, the frequency mean, and the frequency standard deviation of the variability to be altered. For the values tested, results indicated that the magnitude of the variability had the most significant impact on falling, and specifically that the stance knee flexion variability magnitude was the most significant factor. Altering the variability frequency had little to no effect on falling.

Authors: Amy Mitchell and Anne E. Martin.
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Single_Date/Time:
Calendar_Date:2021
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publication date
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Theme_Keyword_Thesaurus:ISO 19115 Topic Categories
Theme_Keyword:biota
Access_Constraints:None.
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The University excludes any and all implied warranties, including warranties or merchantability and fitness for a particular purpose.
The University makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance.
The University will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
The USER is granted permission to translate and add value to the FILES for the use of the FILES on its computer hardware; provided, however, that the USER annually notify the University of any customizing or value-adding work done.
Point_of_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person:Anne Martin
Contact_Organization:Penn State
Contact_Position:Martin W. Trethewey Early Career Professor, Mechanical Engineering
Contact_Address:
Address_Type:mailing address
Address: 
338B Reber Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:USA
Contact_Voice_Telephone:(814)863-4114
Contact_Electronic_Mail_Address:aem34@psu.edu
Contact Instructions: 
Authors: Amy Mitchell and 
Anne E. Martin
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Contact_Information:
Contact_Person_Primary:
Contact_Organization:Penn State Data Commons
Contact_Address:
Address_Type:mailing and physical address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:(814) 865 - 8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Distribution_Liability: 
The USER shall indemnify, save harmless, and, if requested, defend those parties involved with the development and distribution of this data, their officers, agents, and employees from and against any suits, claims, or actions for injury, death, or property damage arising out of the use of or any defect in the FILES or any accompanying documentation. Those parties involved with the development and distribution excluded any and all implied warranties, including warranties or merchantability and fitness for a particular purpose and makes no warranty or representation, either express or implied, with respect to the FILES or accompanying documentation, including its quality, performance, merchantability, or fitness for a particular purpose. The FILES and documentation are provided "as is" and the USER assumes the entire risk as to its quality and performance. Those parties involved with the development and distribution of this data will not be liable for any direct, indirect, special, incidental, or consequential damages arising out of the use or inability to use the FILES or any accompanying documentation.
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Metadata_Reference_Information:
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:Penn State Data Commons
Contact_Position:Metadata Coordinator
Contact_Address:
Address_Type:mailing address
Address: 
115 Land and Water Building
City:University Park
State_or_Province:Pennsylvania
Postal_Code:16802
Country:United States
Contact_Voice_Telephone:814-865-8792
Contact_Electronic_Mail_Address:datacommons@psu.edu
Metadata_Standard_Name:FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version:FGDC-STD-001-1998
Metadata_Time_Convention:local time
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