Utilizing activity sensors to identify the behavioural activity patterns of elderly home care clients

Hyväri, Sauli; Elo, Satu; Kukkohovi, Saara; Lotvonen, Sinikka

doi:10.1080/17483107.2022.2110951

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…Many previous works have studied the physical activity of people for different time frames. Most analyse daily activities for 24 h [23,25] or for a week [26], but only a minority for longer [27,28]. Nowadays, there is a widespread concern for monitoring daily activity with the idea to generate routines [3,6,19].…”

Section: Related Workmentioning

confidence: 99%

Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place

Lluva-Plaza,

Jiménez-Martín,

Gualda-Gómez

et al. 2023

Sensors

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Demographic changes and an ageing population require more effective methods to confront the increased prevalence of chronic diseases which generate dependence in older adults as well as an important rise in social expenditure. The challenge is not only to increase life expectancy, but also to ensure that the older adults can fully enjoy that moment in their lives, living where they wish to (private home, nursing home, …). Physical activity (PA) is a representative parameter of a person’s state of health, especially when we are getting older, because it plays an important role in the prevention of diseases, and that is the reason why it is promoted in older adults. One of the goals of this work is to assess the feasibility of objectively measuring the PA levels of older adults wherever they live. In addition, this work proposes long-term monitoring that helps to gather daily activity patterns. We fuse inertial measurements with other technologies (WiFi- and ultrasonic-based location) in order to provide not only PA, but also information about the place where the activities are carried out, including both room-level location and precise positioning (depending on the technology used). With this information, we would be able to generate information about the person’s daily routines which can be very useful for the early detection of physical or cognitive impairment.

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Section: Related Workmentioning

confidence: 99%

Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place

Lluva-Plaza,

Jiménez-Martín,

Gualda-Gómez

et al. 2023

Sensors

View full text Add to dashboard Cite

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Environmental assessment of regional cooperative elderly care: a case study of the Yangtze River Delta

Wang

Chen

Peng

2023

Econ Change Restruct

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In the post-COVID-19 era of green economic recovery, this paper analyses the elderly care environment of cities in the Yangtze River Delta (YRD) region and investigates the future development direction of the elderly care industry based on comparative advantages and resource endowment. Firstly, an evaluation index system of the elderly care environment is constructed, then the entropy weight method is used to calculate the weight, and finally the comprehensive evaluation index of the elderly care environment in each city is obtained by weighted calculation. The development directions of the elderly care industry for each city in the YRD region are proposed based on the results. The study shows that the suitable development direction of the elderly care industry differs among cities. Cities suitable for residential elderly care are mainly distributed in the central and western regions, cities fit for the leisure and tourism of elderly care are mainly located in the southeast, and cities suitable for the treatment and rehabilitation of elderly care are mainly provincial capitals and cities with better economic development levels. Additionally, Wenzhou City in Zhejiang Province is eligible for the development of a comprehensive elderly care industry.

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Utilizing activity sensors to identify the behavioural activity patterns of elderly home care clients

Cited by 2 publications

References 35 publications

Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place

Multisensory System for Long-Term Activity Monitoring to Facilitate Aging-in-Place

Environmental assessment of regional cooperative elderly care: a case study of the Yangtze River Delta

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