# High-Accuracy Indoor Positioning and Smart Home Technologies for Assessing and Monitoring Frailty in Older Adults

**Authors:** Antonio Miguel Cruz, Mathieu Figeys, Yusuf Ahmed, Farnaz Koubasi, Munirah Alsubaie, Salamah Alshammari, Arsh Narkhede, Geoffrey Gregson, Andrew Chan, Lili Liu, Adriana Ríos Rincón

PMC · DOI: 10.3390/s26010113 · Sensors (Basel, Switzerland) · 2025-12-24

## TL;DR

A smart home system using advanced sensors accurately assesses frailty in older adults, offering a non-invasive and continuous alternative to traditional methods.

## Contribution

Integration of off-the-shelf IoT and UWB technologies for high-accuracy, automated frailty assessment in a home-like setting.

## Key findings

- The system showed very strong correlations with Fried’s Frailty Phenotype criteria and strong correlations with Clinical and Edmonton Frailty Scales.
- Ultra-wideband positioning and IoT devices captured all five frailty components with high spatial and temporal precision.
- Sensor-based frailty assessments confirmed strong concurrent validity and potential for early risk detection and personalized interventions.

## Abstract

What are the main findings?
The high-accuracy home-monitoring system demonstrated very strong concurrent validity with the Fried’s Frailty Phenotype criteria and strong associations with the Clinical and Edmonton Frailty Scales.The system effectively integrated ultra-wideband indoor positioning, off-the-Shelf-Internet of Things enabled devices, and smart sensors to capture all five frailty components with high spatial and temporal precision in a home-like clinical environment.

The high-accuracy home-monitoring system demonstrated very strong concurrent validity with the Fried’s Frailty Phenotype criteria and strong associations with the Clinical and Edmonton Frailty Scales.

The system effectively integrated ultra-wideband indoor positioning, off-the-Shelf-Internet of Things enabled devices, and smart sensors to capture all five frailty components with high spatial and temporal precision in a home-like clinical environment.

What are the implication of the main findings?
High-accuracy sensor integration enables objective, continuous, and automated frailty assessment, reducing reliance on self-reported or clinic-based evaluations.These results show a potential for off-the-Shelf-Internet of Things-based smart home technologies to support data-driven frailty assessment and monitoring, early risk detection, and personalized intervention for aging-in-place applications.

High-accuracy sensor integration enables objective, continuous, and automated frailty assessment, reducing reliance on self-reported or clinic-based evaluations.

These results show a potential for off-the-Shelf-Internet of Things-based smart home technologies to support data-driven frailty assessment and monitoring, early risk detection, and personalized intervention for aging-in-place applications.

Frailty assessment and monitoring are essential for supporting independent living and preventing adverse outcomes among older adults. This study aimed to develop and evaluate the concurrent validity of a high-accuracy home-monitoring system for assessing and tracking frailty in older adults. The system integrated off-the-shelf, zero-effort technologies, including ultra-wideband (UWB) indoor positioning, a smart scale, a connected hand dynamometer, and a Bluetooth speakerphone, to measure the five components of Fried’s Frailty Phenotype criteria. Twenty-one participants (aged 21–90 years) completed frailty assessments using both traditional clinical measures and the sensor-based system within a simulated home environment within a major rehabilitation hospital. The developed system demonstrated very strong and statistically significant correlations between the sensor-based system and the Fried’s Frailty Phenotype criteria, strong correlations with the Clinical Frailty Scale, and moderate-to-strong correlations with the Edmonton Frailty Scale, confirming the system’s strong concurrent validity. These findings indicate that high-accuracy, home-based monitoring technologies can provide reliable, objective, and non-invasive assessment of frailty in older adults, supporting early detection and continuous monitoring. This approach shows promise for future integration into smart home environments to enhance proactive frailty management and aging-in-place strategies.

## Full-text entities

- **Diseases:** Frailty (MESH:D000073496)

## Full text

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## Figures

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## References

62 references — full list in the complete paper: https://tomesphere.com/paper/PMC12787328/full.md

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Source: https://tomesphere.com/paper/PMC12787328