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Microcontroller-Based Seat Occupancy Detection and Classification

1
Department of Computer and Electrical Engineering, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico
2
Department of Electronic Engineering, Universitat Politècnica de Catalunya-BarcelonaTech, 08860 Castelldefels, Spain
*
Author to whom correspondence should be addressed.
Presented at the Eurosensors 2018 Conference, Graz, Austria, 9–12 September 2018.
Proceedings 2018, 2(13), 1040; https://doi.org/10.3390/proceedings2131040
Published: 13 November 2018
(This article belongs to the Proceedings of Eurosensors 2018)
PDF [581 KB, uploaded 13 November 2018]

Abstract

This paper presents a microcontroller-based measurement system to detect and confirm the presence of a subject in a chair. The system relies on a single Force Sensing Resistor (FSR), which may be arranged in the seat or backrest of the chair, that undergoes a sudden resistance change when a subject/object is seated/placed over the chair. In order to distinguish between a subject and an inanimate object, the system also monitors small-signal variations of the FSR resistance caused by respiration. These resistance variations are then directly measured by a low-cost general-purpose microcontroller without using either an analogue processing stage or an analogue-to-digital converter, thus resulting in a low-cost, low-power, compact design solution.
Keywords: autonomous sensor; force sensing resistor; microcontroller; resistive sensor; seat occupancy detection; sensor interface electronics autonomous sensor; force sensing resistor; microcontroller; resistive sensor; seat occupancy detection; sensor interface electronics
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Sifuentes, E.; González-Landaeta, R.; Cota-Ruiz, J.; Reverter, F. Microcontroller-Based Seat Occupancy Detection and Classification. Proceedings 2018, 2, 1040.

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