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Conference Papers Year : 2022

Walking on a Capacitive Sensing Floor

Stefan Janaqi
Mélodie Sannier
Gérard Dray
Benoit G. Bardy

Abstract

A capacitive proximity device SensFloor [1] was installed in the HUman at home project [2] appartment in Montpellier, France. Floor activations related to participants' movements are recorded with a frequency of 868Hz. One issue of this low-cost floor is its poor spatial precision. Actually, the least spatial element is a triangle of 25 × 50 cm. Moreover, this capacitive signal is not proportional to the weight of the object. Thus, it is challenging to organize this space-temporal signals into human behavioral events such as static, trample, walk. These events are identified by our Walk@Home algorithm presented here. In the core of this algorithm is a space-temporal window that scans the raw signals and organize them into a dynamic graph containing the eventual trajectories. Even then, the result is an approximation of the movement of the center of the gravity of a human. A good identification of trajectories is validated with data from controlled movements on the floor.
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Dates and versions

hal-03806466 , version 1 (07-10-2022)

Identifiers

  • HAL Id : hal-03806466 , version 1

Cite

Stefan Janaqi, Mélodie Sannier, Gérard Dray, V. Raducanu, Benoit G. Bardy. Walking on a Capacitive Sensing Floor. SEIA 2022 - 8th International Conference on Sensors and Electronic Instrumentation Advances, Sep 2022, Corfu, Greece. ⟨hal-03806466⟩
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