Intelligent Carpet System, Based on Photonic Guided-Path Tomography, for Gait and Balance Monitoring in Home Environments

Jose A Cantoral Ceballos, Nurgiyatna Nurgiyatna, Paul Wright, John Vaughan, Christine Brown Wilson, Patricia Scully, Krikor B. Ozanyan

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We report on the photonic variant of the previously introduced guided-path tomography (GPT), by demonstrating a system for footstep imaging using plastic optical fiber (POF) sensors. The 1 m x 2 m sensor head is manufactured by attaching 80 POF sensors on a standard commercial carpet underlay. The sensing principle relies on the sensitivity of POF to bending, quantified by measuring light transmission. The photonic GPT system, comprising the sensor head with processing hardware and software, covered by a mass-production general-purpose carpet top, successfully performs footstep imaging and correctly displays the position and footfall of a person walking on the carpet in real time. We also present the implementation of fast footprint center of mass calculations, suitable for recording gait and footfall. A split-screen movie, showing the frame-by-frame camera-captured action next to the reproduced footprints, can be downloaded at http://ieeexplore.ieee.org
    Original languageEnglish
    Article number6861424
    Pages (from-to)279-289
    Number of pages11
    JournalIEEE Sensors Journal
    Volume15
    Issue number1
    DOIs
    Publication statusPublished - 1 Sept 2015

    Keywords

    • footstep imaging, gait, “intelligent carpet”, parallel center of mass algorithm (PCoMA), photonic Guided- Path Tomography (PGPT), plastic optical fiber (POF)

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