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PLATERA: A Comprehensive Web-Based System and Sensor Dataset for Activity Recognition in Households Environments

  • David Díaz-Jiménez,
  • José Luis López,
  • Juan F. Gaitán-Guerrero,
  • Macarena Espinilla

摘要

In this work we present a web-based system, PLATERA, and an extensive dataset, Living Dataset PLATERA, designed to be used for activity recognition and monitoring in households environments. Each user of the platform can access different functions depending on their role, including activity monitoring, data management, sensor visualization, home creation, and sensor management. The dataset contains information gathered from a variety of sensors, including motion sensors that use passive infrared (PIR) technology to detect movement, anchor devices that measure Received Signal Strength Indicator (RSSI) to determine location, and activity bands that record physical activity data. Temperature and humidity sensors provide accurate measurements of environmental conditions, while magnetic technology powers the opening and closing sensors that operate doors. Through this work we hope to encourage the development of sensor-based activity recognition systems.