A NOVEL APPROACH TO ANALYZING RAPID TETRAPOD LOCOMOTION USING INERTIAL MEASUREMENT UNITS

Hayati, H; Eager; Jusufi; Brown

A NOVEL APPROACH TO ANALYZING RAPID TETRAPOD LOCOMOTION USING INERTIAL MEASUREMENT UNITS

Hayati, H

Eager

Jusufi

Brown

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Publication Type:: Conference Proceeding
Citation:: 2017
Issue Date:: 2017-08-27

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Field	Value	Language
dc.contributor.author	Hayati, H https://orcid.org/0000-0002-6781-6093	en_US
dc.contributor.author	Eager https://orcid.org/0000-0003-1926-7867	en_US
dc.contributor.author	Jusufi https://orcid.org/0000-0003-4250-2984	en_US
dc.contributor.author	Brown	en_US
dc.date	2017-07-23	en_US
dc.date.issued	2017-08-27	en_US
dc.identifier.citation	2017	en_US
dc.identifier.uri	http://hdl.handle.net/10453/115626
dc.description.abstract	Rapid quadrupedal movement on granular media and other irregular terrain is an interesting area of research which is under-explored. Current methods of studying rapid quadrupedal movement involve the measurement of ground reaction forces (GRF) using a force plate and a simultaneous kinematics analysis by a High Frame Rate video (HFR). Although force plates provides highly accurate kinetic data, it is not always practical to deploy in the study of animal locomotion. For instance, it is often not possible to embed force plates in irregular terrains [1] characteristic of most ecologically relevant animals’ natural habitats [2]. An alternative method is to utilize an inertial measurement unit (IMU) equipped with a tri-axial accelerometer to analyze accelerations associated with different quadruped gaits. In this study, a tri-axial accelerometer is used to analyze sprinting locomotion dynamics of a greyhound in a simulated racing condition. Kinematics data from videography of the entire race was recorded in each trial for data calibration. In addition, the paw prints of the greyhound on a sandy-loam surface of a race track are also analyzed to sync acceleration data with each individual paw print.	en_US
dc.relation.ispartof	International Society of Biomechanics	en_US
dc.title	A NOVEL APPROACH TO ANALYZING RAPID TETRAPOD LOCOMOTION USING INERTIAL MEASUREMENT UNITS	en_US
dc.type	Conference Proceeding
utslib.location.activity	Brisbane, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/e-Press
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.finish-date	2017-07-27	en_US
pubs.publication-status	Accepted	en_US
pubs.start-date	2017-07-23	en_US

Abstract:

Rapid quadrupedal movement on granular media and other irregular terrain is an interesting area of research which is under-explored. Current methods of studying rapid quadrupedal movement involve the measurement of ground reaction forces (GRF) using a force plate and a simultaneous kinematics analysis by a High Frame Rate video (HFR). Although force plates provides highly accurate kinetic data, it is not always practical to deploy in the study of animal locomotion. For instance, it is often not possible to embed force plates in irregular terrains [1] characteristic of most ecologically relevant animals’ natural habitats [2]. An alternative method is to utilize an inertial measurement unit (IMU) equipped with a tri-axial accelerometer to analyze accelerations associated with different quadruped gaits. In this study, a tri-axial accelerometer is used to analyze sprinting locomotion dynamics of a greyhound in a simulated racing condition. Kinematics data from videography of the entire race was recorded in each trial for data calibration. In addition, the paw prints of the greyhound on a sandy-loam surface of a race track are also analyzed to sync acceleration data with each individual paw print.

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http://hdl.handle.net/10453/115626