Estimation of Continous Heel and Toe Clearances Using Foot-Worn Inertial Sensors

Zhang, Y; Wu, Y; Nie, J; Yu, Y

Estimation of Continous Heel and Toe Clearances Using Foot-Worn Inertial Sensors

Zhang, Y Wu, Y Nie, J Yu, Y

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Publication Type:: Conference Proceeding
Citation:: Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019, 2019
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Zhang, Y	en_US
dc.contributor.author	Wu, Y	en_US
dc.contributor.author	Nie, J	en_US
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191	en_US
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019, 2019	en_US
dc.identifier.isbn	9781728148526	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138929
dc.description.abstract	© 2019 IEEE. Falls happen frequently to older people in their daily life. Heel and toe clearances are regarded as significant indicators for the risk of falling. In this study, we developed a foot-worn inertial system to capture kinematic gait data. An estimation method of continuous heel and toe clearances during walking was proposed. Based on heel strike and toe off events detection, a foot movement model was presented to calculate the continuous heel and toe clearances. To compensate the sensor drift, an algorithm combined Zero Velocity Update, Zero Angular Rate Update, Zero Vertical Displacement Update plus a liner drift correction model was implemented. To verify the effectiveness of the drift compensation algorithm, the calculated IMU clearances before and after the implementation of the algorithm were compared and the walking tests results supported its feasibility. Furthermore, the continuous heel and toe clearances were estimated successfully using the foot movement model.	en_US
dc.relation.ispartof	Proceedings - 2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2019	en_US
dc.relation.isbasedon	10.1109/CISP-BMEI48845.2019.8965774	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Estimation of Continous Heel and Toe Clearances Using Foot-Worn Inertial Sensors	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
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 Civil and Environmental Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2021-10-01T00:00:00+1000
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. Falls happen frequently to older people in their daily life. Heel and toe clearances are regarded as significant indicators for the risk of falling. In this study, we developed a foot-worn inertial system to capture kinematic gait data. An estimation method of continuous heel and toe clearances during walking was proposed. Based on heel strike and toe off events detection, a foot movement model was presented to calculate the continuous heel and toe clearances. To compensate the sensor drift, an algorithm combined Zero Velocity Update, Zero Angular Rate Update, Zero Vertical Displacement Update plus a liner drift correction model was implemented. To verify the effectiveness of the drift compensation algorithm, the calculated IMU clearances before and after the implementation of the algorithm were compared and the walking tests results supported its feasibility. Furthermore, the continuous heel and toe clearances were estimated successfully using the foot movement model.

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http://hdl.handle.net/10453/138929