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Proximity Sensor for Measuring Social Interaction in a School Environment.

Tania Karina Hernández-Heredia1, Cesar Fabián Reyes-Manzano2, Diego Alonso Flores-Hernández1

  • 1Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas, Instituto Politécnico Nacional, Mexico City 07340, Mexico.

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Summary
This summary is machine-generated.

This study introduces a novel sensor device using Bluetooth, GPS, and accelerometer to detect proximity and map social interactions. This technology aids in understanding diverse human behaviors in various settings like schools.

Keywords:
interactionreceived signal strength indicatorsensorsspatial configuration

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Area of Science:

  • Technology and Social Science
  • Human Behavior Analysis
  • Sensor Technology

Background:

  • Social interactions are complex and dynamic, with significant implications for social, health, and educational outcomes.
  • Understanding these interactions requires innovative technological solutions.
  • Recent advancements in applied technology enable the development of sophisticated sensing devices.

Purpose of the Study:

  • To design and develop a novel sensor device for detecting proximity and identifying social interactions.
  • To evaluate the functionality of the proposed sensor in various operating conditions.
  • To explore the application of this technology in contexts such as educational environments.

Main Methods:

  • Development of a novel proximity sensor integrating a Bluetooth sensor, a global positioning system (GPS) unit, and an accelerometer.
  • Utilizing Received Signal Strength Indicator (RSSI) profiles to characterize sensor proximity.
  • Testing the sensor's performance in detecting neighboring sensors under different configurations.

Main Results:

  • The developed sensor successfully detects the presence of neighboring sensors.
  • Received Signal Strength Indicator (RSSI) profiles demonstrated behavior consistent with empirical relationships.
  • The sensor proved functional in identifying proximity, a key factor in social interactions.

Conclusions:

  • The novel sensor device is effective in detecting proximity between devices.
  • This technology offers a valuable tool for identifying and analyzing social interactions in real-world settings.
  • The sensor has potential applications in fields like education for understanding student dynamics.