Monitoring Dressing Autonomy: A Remote Home Care RFID-Based Solution for People with Dementia

Abstract The number of elder people with dementia is steadily increasing, and so is the need for solutions to support remote home care and to facilitate “aging in place”. People affected by dementia often need assistance with daily self-care tasks such as dressing, eating, and bathing. Our focus is on the dressing activity: we analyze the requirements and propose a system that leverages -based technology to support individuals in dressing appropriately, let the individuals reside at home or in assisted living facilities. The system exploits tags, fixed or ironed onto the person’s clothes, and antennas to read and collect data from the tags. The system detects the user’s outfit, eventually providing the individual with immediate feedback and alerting the caregiver. We compare two different technologies: one operating at 13.56 MHz ()—commonly adopted in the literature—and one at 868 MHz (). An in-depth analysis of the technology for detecting worn clothes is reported, considering the scenario where the antennas are positioned on one side of a door to achieve comprehensive detection coverage of the entire body.

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Publication Details

Journal
SN Computer Science
Published
2025-05-07
DOI
https://doi.org/10.1007/s42979-025-03975-6
Primary Topic
Context-Aware Activity Recognition Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Monitoring Dressing Autonomy: A Remote Home Care RFID-Based Solution for People with Dementia

Giuseppe Pozzi, Sara Comai, Andrea Masciadri, Fabio Salice
1 links
SN Computer Science
Context-Aware Activity Recognition Systems
article

Monitoring Dressing Autonomy: A Remote Home Care RFID-Based Solution for People with Dementia

Giuseppe Pozzi, Sara Comai, Andrea Masciadri, Fabio Salice
article en

Abstract

Abstract The number of elder people with dementia is steadily increasing, and so is the need for solutions to support remote home care and to facilitate “aging in place”. People affected by dementia often need assistance with daily self-care tasks such as dressing, eating, and bathing. Our focus is on the dressing activity: we analyze the requirements and propose a system that leverages -based technology to support individuals in dressing appropriately, let the individuals reside at home or in assisted living facilities. The system exploits tags, fixed or ironed onto the person’s clothes, and antennas to read and collect data from the tags. The system detects the user’s outfit, eventually providing the individual with immediate feedback and alerting the caregiver. We compare two different technologies: one operating at 13.56 MHz ()—commonly adopted in the literature—and one at 868 MHz (). An in-depth analysis of the technology for detecting worn clothes is reported, considering the scenario where the antennas are positioned on one side of a door to achieve comprehensive detection coverage of the entire body.

SN Computer ScienceVol. 6(5)
Politecnico di Milano (IT)
Politecnico di Milano, Horizon 2020 Framework Programme
Openalex Percentile: Top 92%
Context-Aware Activity Recognition Systems
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Monitoring Dressing Autonomy: A Remote Home Care RFID-Based Solution for People with Dementia — Giuseppe Pozzi, Sara Comai, et al. · SN Computer Science (2025) | TGRS Research Map | TGRS