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Detalhes Referência

Tipo
Artigos em Revista

Tipo de Documento
Artigo Completo

Título
Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations

Participantes na publicação
Yiyuan Zhang (Author)
Ine D Haeseleer (Author)
José Coelho (Author)
Dep. Informática
 LASIGE
 Vero Vanden Abeele (Author)
Bart Vanrumste (Author)

Resumo
This article provides a systematic review of studies on recognising bathroom activities in older adults using wearable sensors. Bathroom activities are an important part of Activities of Daily Living (ADL). The performance on ADL activities is used to predict the ability of older adults to live independently. This paper aims to provide an overview of the studied bathroom activities, the wearable sensors used, different applied methodologies and the tested activity recognition techniques. Six databases were screened up to March 2020, based on four categories of keywords: older adults, activity recognition, bathroom activities and wearable sensors. In total, 4262 unique papers were found, of which only seven met the inclusion criteria. This small number shows that few studies have been conducted in this field. Therefore, in addition, this critical review resulted in several recommendations for future studies. In particular, we recommend to (1) study complex bathroom activities, including multiple movements; (2) recruit participants, especially the target population; (3) conduct both lab and real-life experiments; (4) investigate the optimal number and positions of wearable sensors; (5) choose a suitable annotation method; (6) investigate deep learning models; (7) evaluate the generality of classifiers; and (8) investigate both detection and quality performance of an activity.

Data de Submissão/Pedido
2020-12-01
Data de Aceitação
2021-03-17
Data de Publicação
2021-03-20

Instituição
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Suporte
Sensors

Identificadores da Publicação
eISSN - 1424-8220

Editora
MDPI AG

Volume
21
Fascículo
6

Página Inicial
2176

Identificadores do Documento
DOI - https://doi.org/10.3390/s21062176
URL - http://dx.doi.org/10.3390/s21062176
URL - https://www.mdpi.com/1424-8220/21/6/2176

Identificadores de Qualidade
SCIMAGO Q1 (2021) - 0.653 - Instrumentation

Keywords
older adults activity recognition bathroom activities wearable sensors machine learning techniques ADL


Exportar referência

APA
Yiyuan Zhang, Ine D Haeseleer, José Coelho, Vero Vanden Abeele, Bart Vanrumste, (2021). Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations. Sensors, 21,https://www.mdpi.com/1424-8220/21/6/2176

IEEE
Yiyuan Zhang, Ine D Haeseleer, José Coelho, Vero Vanden Abeele, Bart Vanrumste, "Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations" in Sensors, vol. 21, 2021. 10.3390/s21062176

BIBTEX
@article{50607, author = {Yiyuan Zhang and Ine D Haeseleer and José Coelho and Vero Vanden Abeele and Bart Vanrumste}, title = {Recognition of Bathroom Activities in Older Adults Using Wearable Sensors: A Systematic Review and Recommendations}, journal = {Sensors}, year = 2021, volume = 21 }