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A Vibrotactile Feedback Device for Seated Balance Assessment and Training
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Seat Occupancy Detection Based on a Low-Power Microcontroller and a Single FSR.

Ernesto Sifuentes1, Rafael Gonzalez-Landaeta2, Juan Cota-Ruiz3

  • 1Department of Computer and Electrical Engineering, Universidad Autónoma de Ciudad Juárez (UACJ), Ciudad Juárez 32310, Mexico. esifuent@uacj.mx.

Sensors (Basel, Switzerland)
|February 13, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a microcontroller system using a Force Sensing Resistor (FSR) to detect if a person is in a chair. It distinguishes people from objects by sensing breathing patterns, offering low-power, accurate presence detection.

Keywords:
autonomous sensorforce sensing resistormicrocontrollerresistive sensorseat occupancy detectionsensor interface electronics

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Area of Science:

  • Embedded Systems
  • Biomedical Engineering
  • Sensor Technology

Background:

  • Accurate detection of human presence in seating is crucial for various applications.
  • Existing methods may lack low-power operation or the ability to differentiate between humans and objects.
  • Force Sensing Resistors (FSRs) offer a potential solution for detecting weight changes.

Purpose of the Study:

  • To develop a microcontroller-based system for detecting and confirming human presence in a chair.
  • To differentiate between human subjects and inanimate objects based on physiological signals.
  • To design a low-power, energy-efficient presence detection system.

Main Methods:

  • Utilized a single Force Sensing Resistor (FSR) integrated into a chair seat.
  • Monitored subtle FSR resistance variations caused by respiration to identify human presence.
  • Implemented a low-cost microcontroller unit (MCU) for direct resistance measurement, bypassing analog processing and ADCs.
  • Developed two MCU circuit versions: one for concept validation and another with smart wake-up functionality for energy saving.

Main Results:

  • Successfully demonstrated experimental feasibility with subjects of varying weights and postures, and with objects.
  • The smart wake-up MCU circuit achieved a standby current consumption of 800 nA.
  • The measurement after wake-up required only 125 µJ of energy.

Conclusions:

  • The proposed microcontroller-based FSR system effectively detects and confirms human presence in a chair.
  • Respiration-induced FSR signal variations enable reliable differentiation between subjects and objects.
  • The smart wake-up feature significantly enhances energy efficiency for low-power applications.