Psychological effects of physical deficiencies in the residences on elderly persons: A case study in Trabzon Old Person's Home in Turkey

Kahya, Nimet Candaş; Zorlu, Tülay; Özgen, Süleyman; Sarı, Reyhan Midilli; Şen, Derya Elmali; Sağsöz, Ayşe

doi:10.1016/j.apergo.2008.09.002

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…It was likewise discovered that "the diminished capacity of self-care additionally influences the decreased satisfaction of the elder's life" [44]. Above all, it was reported that the elderly prefer to live alongside their families in their own homes [45]. For this reason, "aging-in-place" is preferred by most European nations [5].…”

Section: Necessity Of Smart Home System For the Elderlymentioning

confidence: 99%

Elderly Perception on the Internet of Things-Based Integrated Smart-Home System

Hoon

Hyun

2021

Sensors

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An integrated smart home system (ISHS) is an effective way to improve the quality of life of the elderly. The elderly’s willingness is essential to adopt an ISHS; to the best of our knowledge, no study has investigated the elderly’s perception of ISHS. Consequently, this study aims to investigate the elderly’s perception of the ISHS by comprehensively evaluating its possible benefits and negative responses. A set of sensors required for an ISHS was determined, and interviews were designed based on four factors: perceived comfort, perceived usability, perceived privacy, and perceived benefit. Subsequently, technological trials of the sensor-set followed by two focus group interviews were conducted on nine independently living elderly participants at a senior welfare center in South Korea. Consistent with previous studies, the results of this investigation indicate that elderly participants elicited negative responses regarding usability complexity, and discomfort to daily activities. Despite such negative responses, after acquiring enough awareness about the ISHS’s benefits, the elderly acknowledged its necessity and showed a high level of willingness. Furthermore, these results indicate that for a better adoption of an ISHS, sufficient awareness regarding its benefits and development of elderly-friendly smart home sensors that minimize negative responses are required.

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Section: Necessity Of Smart Home System For the Elderlymentioning

confidence: 99%

Elderly Perception on the Internet of Things-Based Integrated Smart-Home System

Hoon

Hyun

2021

Sensors

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“…This care can be provided in institutional care or at home. Studies have shown that older people living in institutional care experience a higher level of dependency, loneliness and decreased life satisfaction and that they prefer to live in their own homes [ 5 , 6 , 7 ]. Living in their own home provides them with greater independence, reduces social isolation with a positive effect on the elderly [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Deep Learning for Walking Behaviour Detection in Elderly People Using Smart Footwear

Aznar-Gimeno

Labata-Lezaun

Adell-Lamora

et al. 2021

Entropy

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The increase in the proportion of elderly in Europe brings with it certain challenges that society needs to address, such as custodial care. We propose a scalable, easily modulated and live assistive technology system, based on a comfortable smart footwear capable of detecting walking behaviour, in order to prevent possible health problems in the elderly, facilitating their urban life as independently and safety as possible. This brings with it the challenge of handling the large amounts of data generated, transmitting and pre-processing that information and analysing it with the aim of obtaining useful information in real/near-real time. This is the basis of information theory. This work presents a complete system aiming at elderly people that can detect different user behaviours/events (sitting, standing without imbalance, standing with imbalance, walking, running, tripping) through information acquired from 20 types of sensor measurements (16 piezoelectric pressure sensors, one accelerometer returning reading for the 3 axis and one temperature sensor) and warn the relatives about possible risks in near-real time. For the detection of these events, a hierarchical structure of cascading binary models is designed and applied using artificial neural network (ANN) algorithms and deep learning techniques. The best models are achieved with convolutional layered ANN and multilayer perceptrons. The overall event detection performance achieves an average accuracy and area under the ROC curve of 0.84 and 0.96, respectively.

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Awareness, Availability, and Accessibility of Assistive Technologies for the Elderly in India: A Review

Maurya

Das

2019

Smart Innovation, Systems and Technologies

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Psychological effects of physical deficiencies in the residences on elderly persons: A case study in Trabzon Old Person's Home in Turkey

Cited by 5 publications

References 20 publications

Elderly Perception on the Internet of Things-Based Integrated Smart-Home System

Elderly Perception on the Internet of Things-Based Integrated Smart-Home System

Deep Learning for Walking Behaviour Detection in Elderly People Using Smart Footwear

Awareness, Availability, and Accessibility of Assistive Technologies for the Elderly in India: A Review

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