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Communication dans un congrès

Walking on a Capacitive Sensing Floor

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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Communication dans un congrès
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https://hal.mines-ales.fr/hal-03806466
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Soumis le : vendredi 7 octobre 2022 - 17:58:35
Dernière modification le : mercredi 12 octobre 2022 - 03:59:11

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  • HAL Id : hal-03806466, version 1

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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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