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Extracting Daily Routines from Raw RSSI Data.

Raúl Montoliu¹, Emilio Sansano-Sansano¹, Marina Martínez-García²

¹Institute of New Imaging Technologies, Jaume I University, 12071 Castellón de la Plana, Spain.

Sensors (Basel, Switzerland)

|May 14, 2025

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This summary is machine-generated.

This study introduces a method to detect daily routines of older adults in care homes using smartwatch data. It analyzes location and activity patterns to understand behavioral routines for improved care.

Area of Science:

Gerontology and Health Informatics
Behavioral Science and Human-Computer Interaction

Background:

Understanding daily routines is crucial for older adults' well-being, particularly in care home settings.
Existing methods for routine detection often lack precision or require extensive manual input.

Purpose of the Study:

To propose a comprehensive methodology for extracting and analyzing daily behavioral routines of older adults in care homes.
To leverage wearable sensor data for objective and continuous monitoring of activities.

Main Methods:

Utilized signal strength measurements from smartwatches worn by six volunteers over five months.
Employed fingerprint-based localization techniques to track minute-by-minute locations.
Estimated daily activities and calculated the probability of undertaking specific activities on weekdays.

Keywords:

health and wellness applications location-based services and applications monitoring and modeling of human motion wearable-based systems

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Main Results:

Successfully extracted and analyzed detailed daily activity patterns from smartwatch data.
Demonstrated the feasibility of using location data to infer behavioral routines.
Quantified the probability of specific activities occurring on different weekdays.

Conclusions:

The proposed methodology offers a robust approach for detecting and analyzing behavioral routines in older adults.
This technique can support personalized care strategies and enhance the quality of life for residents in care homes.
Future work can expand this to larger cohorts and diverse care settings.