IMAGIMAT: polymer optical fibre sensing layer to detect deformation, gait and mobility

Patricia Scully; Jose Cantoral Ceballos; John Vaughan; Paul Wright; Tahmina Zebin; Frank Podd; Christine Brown Wilson; Christopher Todd; Emma Stanmore; Krikor Ozanyan

IMAGIMAT: polymer optical fibre sensing layer to detect deformation, gait and mobility

Patricia Scully, Jose Cantoral Ceballos, John Vaughan, Paul Wright, Tahmina Zebin, Frank Podd, Christine Brown Wilson, Christopher Todd, Emma Stanmore, Krikor Ozanyan

Nursing & Midwifery

Research output: Contribution to conference › Paper › peer-review

Abstract

The iMagiMat Intelligent Carpet is a tomography-based polymer optical fibre (POF) sensor system that images the real-time deformation exerted by human footsteps on an optical fibre grid, to measure individual gait and thus the balance and mobility of an individual. Changes in POF transmission, are caused by bending individual optical fibres embedded within the carpet structure, and are detected via a periodic grid of Toray POF sensor elements of 1mm diameter (multimode, 980μm inner diameter, 10μm cladding) and imaged using an inverse tomography imaging problem solver. The current version is formed from a grid ofplastic optical fibres (POF), integrated with a carpet underlay with electronics at the periphery that relay optical signals to a computer.We report on latest developments on a 1 by 2 metre mat that accommodates several steps, and has successfully detected pressure changes, delivering video image frame rates >30 up to 300 frames per second. It is able to distinguish pressure differences of the order of 0.05psi, and records the image andgeometry, spatial location and time of each footfall, to extract gait measures that can catagorise mobility.Temporal (timing) and spatial (distance) parameters (such as gait velocity, stride length, stride width, single stance, cadence), will identify asymmetry (limping), variability (unsteadiness), compensatory strategies and adaptive gait.iMagiMat requires minimal sensor elements and connections, compared with competing technologies such as GAITRite (www.gaitrite.com), enabling creation of a manageable system, connected using a modular approach for contiguous tessellation to cover a large area. The current prototype sensor mat costs about£100/m2 to build.We will present progress to date, and current “state of play”, including implementation of fast, real time“centre of mass” (CoM) calculation, related to “centre of pressure” (CoP) and “ground reaction force” (GRF),application of machine learning techniques to extract gait parameters and iMAGiMAT performance evaluatedagainst more conventional technology such as GAITrite, force plates and inertial motion sensors. We will alsoconsider other applications of the technology.

Original language	English
Number of pages	1
Publication status	Published - Sept 2016
Event	Photon16: University of Leeds, 5 - 8 September 2016. - University of Leeds, Leeds, United Kingdom Duration: 5 Sept 2016 → 8 Sept 2016 http://www.photon.org.uk/home

Conference

Conference	Photon16
Abbreviated title	Photon16
Country/Territory	United Kingdom
City	Leeds
Period	5/09/16 → 8/09/16
Internet address	http://www.photon.org.uk/home

Keywords

magic carpet
imagimat
optical fibre technology
tomography
intelligent carpet
gait
machine learning

Electromagnetic Sensing Group
Peyton, A. (PI), Fletcher, A. (Researcher), Daniels, D. (CoI), Conniffe, D. (PGR student), Podd, F. (PI), Davidson, J. (Researcher), Anderson, J. (Support team), Wilson, J. (Researcher), Marsh, L. (PI), O'Toole, M. (PI), Watson, S. (PGR student), Yin, W. (PI), Regan, A. (PGR student), Williams, K. (Researcher), Rana, S. (Researcher), Khalil, K. (PGR student), Hills, D. (PGR student), Whyte, C. (PGR student), Wang, C. (PGR student), Hodgskin-Brown, R. (PGR student), Dadkhahtehrani, F. (PGR student), Forster, S. (PGR student), Zhu, F. (PGR student), Yu, K. (PGR student), Xiong, L. (PGR student), Lu, T. (PGR student), Zhang, L. (PGR student), Lyu, R. (PGR student), Zhu, R. (PGR student), She, S. (PGR student), Meng, T. (PGR student), Pang, X. (PGR student), Zheng, X. (PGR student), Bai, X. (PGR student), Zou, X. (PGR student), Ding, Y. (PGR student), Shao, Y. (PGR student), Xia, Z. (PGR student), Zhang, Z. (PGR student), Khangerey, R. (PGR student) & Lawless, B. (Researcher)
1/10/04 → …
Project: Research

Cite this

@conference{7c16787a39b5495fbac700a0518d0e42,

title = "IMAGIMAT: polymer optical fibre sensing layer to detect deformation, gait and mobility",

abstract = "The iMagiMat Intelligent Carpet is a tomography-based polymer optical fibre (POF) sensor system that images the real-time deformation exerted by human footsteps on an optical fibre grid, to measure individual gait and thus the balance and mobility of an individual. Changes in POF transmission, are caused by bending individual optical fibres embedded within the carpet structure, and are detected via a periodic grid of Toray POF sensor elements of 1mm diameter (multimode, 980μm inner diameter, 10μm cladding) and imaged using an inverse tomography imaging problem solver. The current version is formed from a grid ofplastic optical fibres (POF), integrated with a carpet underlay with electronics at the periphery that relay optical signals to a computer.We report on latest developments on a 1 by 2 metre mat that accommodates several steps, and has successfully detected pressure changes, delivering video image frame rates >30 up to 300 frames per second. It is able to distinguish pressure differences of the order of 0.05psi, and records the image andgeometry, spatial location and time of each footfall, to extract gait measures that can catagorise mobility.Temporal (timing) and spatial (distance) parameters (such as gait velocity, stride length, stride width, single stance, cadence), will identify asymmetry (limping), variability (unsteadiness), compensatory strategies and adaptive gait.iMagiMat requires minimal sensor elements and connections, compared with competing technologies such as GAITRite (www.gaitrite.com), enabling creation of a manageable system, connected using a modular approach for contiguous tessellation to cover a large area. The current prototype sensor mat costs about£100/m2 to build.We will present progress to date, and current “state of play”, including implementation of fast, real time“centre of mass” (CoM) calculation, related to “centre of pressure” (CoP) and “ground reaction force” (GRF),application of machine learning techniques to extract gait parameters and iMAGiMAT performance evaluatedagainst more conventional technology such as GAITrite, force plates and inertial motion sensors. We will alsoconsider other applications of the technology.",

keywords = "magic carpet, imagimat, optical fibre technology, tomography, intelligent carpet, gait, machine learning",

author = "Patricia Scully and {Cantoral Ceballos}, Jose and John Vaughan and Paul Wright and Tahmina Zebin and Frank Podd and {Brown Wilson}, Christine and Christopher Todd and Emma Stanmore and Krikor Ozanyan",

year = "2016",

month = sep,

language = "English",

note = "Photon16 : University of Leeds, 5 - 8 September 2016., Photon16 ; Conference date: 05-09-2016 Through 08-09-2016",

url = "http://www.photon.org.uk/home",

}

TY - CONF

T1 - IMAGIMAT: polymer optical fibre sensing layer to detect deformation, gait and mobility

AU - Scully, Patricia

AU - Cantoral Ceballos, Jose

AU - Vaughan, John

AU - Wright, Paul

AU - Zebin, Tahmina

AU - Podd, Frank

AU - Brown Wilson, Christine

AU - Todd, Christopher

AU - Stanmore, Emma

AU - Ozanyan, Krikor

PY - 2016/9

Y1 - 2016/9

N2 - The iMagiMat Intelligent Carpet is a tomography-based polymer optical fibre (POF) sensor system that images the real-time deformation exerted by human footsteps on an optical fibre grid, to measure individual gait and thus the balance and mobility of an individual. Changes in POF transmission, are caused by bending individual optical fibres embedded within the carpet structure, and are detected via a periodic grid of Toray POF sensor elements of 1mm diameter (multimode, 980μm inner diameter, 10μm cladding) and imaged using an inverse tomography imaging problem solver. The current version is formed from a grid ofplastic optical fibres (POF), integrated with a carpet underlay with electronics at the periphery that relay optical signals to a computer.We report on latest developments on a 1 by 2 metre mat that accommodates several steps, and has successfully detected pressure changes, delivering video image frame rates >30 up to 300 frames per second. It is able to distinguish pressure differences of the order of 0.05psi, and records the image andgeometry, spatial location and time of each footfall, to extract gait measures that can catagorise mobility.Temporal (timing) and spatial (distance) parameters (such as gait velocity, stride length, stride width, single stance, cadence), will identify asymmetry (limping), variability (unsteadiness), compensatory strategies and adaptive gait.iMagiMat requires minimal sensor elements and connections, compared with competing technologies such as GAITRite (www.gaitrite.com), enabling creation of a manageable system, connected using a modular approach for contiguous tessellation to cover a large area. The current prototype sensor mat costs about£100/m2 to build.We will present progress to date, and current “state of play”, including implementation of fast, real time“centre of mass” (CoM) calculation, related to “centre of pressure” (CoP) and “ground reaction force” (GRF),application of machine learning techniques to extract gait parameters and iMAGiMAT performance evaluatedagainst more conventional technology such as GAITrite, force plates and inertial motion sensors. We will alsoconsider other applications of the technology.

AB - The iMagiMat Intelligent Carpet is a tomography-based polymer optical fibre (POF) sensor system that images the real-time deformation exerted by human footsteps on an optical fibre grid, to measure individual gait and thus the balance and mobility of an individual. Changes in POF transmission, are caused by bending individual optical fibres embedded within the carpet structure, and are detected via a periodic grid of Toray POF sensor elements of 1mm diameter (multimode, 980μm inner diameter, 10μm cladding) and imaged using an inverse tomography imaging problem solver. The current version is formed from a grid ofplastic optical fibres (POF), integrated with a carpet underlay with electronics at the periphery that relay optical signals to a computer.We report on latest developments on a 1 by 2 metre mat that accommodates several steps, and has successfully detected pressure changes, delivering video image frame rates >30 up to 300 frames per second. It is able to distinguish pressure differences of the order of 0.05psi, and records the image andgeometry, spatial location and time of each footfall, to extract gait measures that can catagorise mobility.Temporal (timing) and spatial (distance) parameters (such as gait velocity, stride length, stride width, single stance, cadence), will identify asymmetry (limping), variability (unsteadiness), compensatory strategies and adaptive gait.iMagiMat requires minimal sensor elements and connections, compared with competing technologies such as GAITRite (www.gaitrite.com), enabling creation of a manageable system, connected using a modular approach for contiguous tessellation to cover a large area. The current prototype sensor mat costs about£100/m2 to build.We will present progress to date, and current “state of play”, including implementation of fast, real time“centre of mass” (CoM) calculation, related to “centre of pressure” (CoP) and “ground reaction force” (GRF),application of machine learning techniques to extract gait parameters and iMAGiMAT performance evaluatedagainst more conventional technology such as GAITrite, force plates and inertial motion sensors. We will alsoconsider other applications of the technology.

KW - magic carpet

KW - imagimat

KW - optical fibre technology

KW - tomography

KW - intelligent carpet

KW - gait

KW - machine learning

M3 - Paper

T2 - Photon16

Y2 - 5 September 2016 through 8 September 2016

ER -

IMAGIMAT: polymer optical fibre sensing layer to detect deformation, gait and mobility

Abstract

Conference

Keywords

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Electromagnetic Sensing Group

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