iMagiMat Smart Carpet: POF Layer to Detect Gait and Mobility.Citation formats
Standard
iMagiMat Smart Carpet: POF Layer to Detect Gait and Mobility. / Scully, Patricia; Cantoral-Caballos, J; Vaughan, J; Wright, P; Zebin, T.; Podd, Frank; Costilla Reyes, Omar; Brown-Wilson, C.; Todd, C; Stanmore, Emma; Ozanyan, Krikor.
Proceedings of 24th International Conference on Plastic Optical Fibres. Nürnberg, Germany, 2015.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - GEN
T1 - iMagiMat Smart Carpet: POF Layer to Detect Gait and Mobility.
AU - Scully,Patricia
AU - Cantoral-Caballos,J
AU - Vaughan,J
AU - Wright,P
AU - Zebin,T.
AU - Podd,Frank
AU - Costilla Reyes,Omar
AU - Brown-Wilson,C.
AU - Todd,C
AU - Stanmore,Emma
AU - Ozanyan,Krikor
PY - 2015/9/22
Y1 - 2015/9/22
N2 - The iMagiMat Smart Carpet is a tomography-based polymer optical fibre (POF) sensor system that images the real-time deformation exerted by human footsteps, to access characteristics of individual gait and mobility. Measurements of changes in POF transmission, due to small deformations of individual optical fibres embedded within the carpet surface, are mapped using a sensing grid of Toray POF sensor elements of 1mm diameter (multimode, 980µm inner diameter, 10µm cladding) and fed into an inverse tomography imaging problem solver. We report recent progress; including the implementation of fast footprint “centre of mass” calculation, related to “centre of pressure” and ground reaction force, the suitability of machine learning techniques for the extraction of gait parameters; and evaluation of iMagiMat performance against more conventional technology such as GAITrite, force plates and inertial motion sensors.
AB - The iMagiMat Smart Carpet is a tomography-based polymer optical fibre (POF) sensor system that images the real-time deformation exerted by human footsteps, to access characteristics of individual gait and mobility. Measurements of changes in POF transmission, due to small deformations of individual optical fibres embedded within the carpet surface, are mapped using a sensing grid of Toray POF sensor elements of 1mm diameter (multimode, 980µm inner diameter, 10µm cladding) and fed into an inverse tomography imaging problem solver. We report recent progress; including the implementation of fast footprint “centre of mass” calculation, related to “centre of pressure” and ground reaction force, the suitability of machine learning techniques for the extraction of gait parameters; and evaluation of iMagiMat performance against more conventional technology such as GAITrite, force plates and inertial motion sensors.
KW - POF
KW - tomography
KW - mobility
KW - pressure
KW - deformation
KW - strain
KW - gait
KW - biometrics
M3 - Conference contribution
BT - Proceedings of 24th International Conference on Plastic Optical Fibres
CY - Nürnberg, Germany
ER -