@inproceedings{b88e2a17ff7b424f856ba7199f36a3e8,
title = "Real-time reconstruction of footprint positions using an {"}intelligent carpet{"} imaging sensor",
abstract = "Fast real-time reconstruction of the position of footprints on an {"}intelligent carpet{"} sensor is achieved on a Field-Programmable Gate Array (FPGA) by parallel computation based on the previously introduced Parallel Center-of-Mass Algorithm (PCoMA). Its performance with synthetic data (numerical phantoms) as well as with data measured with a Photonic Guided-Path Tomography (PGPT) sensor head shows that position error in the order of 10-2 is achievable at tens of kHz frame rate. Additional data processing is possible on the unused FPGA resources to allow efficient streaming of sensor information. This suggests that low-cost, large area PGPT floor sensors can be installed and used in community environments for unobtrusive long-term monitoring of gait stability and changes with age or due the onset of illness.",
keywords = "FPGA, gait analysis, intelligent carpet, real-time reconstruction",
author = "Cantoral-Ceballos, \{Jose A.\} and Paul Wright and John Vaughan and Patricia Scully and Ozanyan, \{Krikor B.\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 14th IEEE SENSORS ; Conference date: 01-11-2015 Through 04-11-2015",
year = "2015",
month = dec,
day = "31",
doi = "10.1109/ICSENS.2015.7370685",
language = "English",
series = "2015 IEEE SENSORS - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2015 IEEE SENSORS - Proceedings",
}