A Support by Technical Aids for the Elderly Care at Home : Learning from Denmark

The decline in function due to aging accompanied by health problems in the elderly has an impact on the ability of the elderly in activity daily living (ADL) and health care. The role of the family is very important in health care assistance to the elderly. Caregiver skills accompanied by environmental aspect are important factors for elderly with chronic illness at home. This community service aims to improve the caregiver's ability to provide care to the elderly with chronic illness. RURAL (Rumah Ramah Lansia) is activity to create a suitable environment for the elderly in terms of physical and psychosocial environment. The families trained as a caregivers which are carried out in RW 4, Jatimulyo, Malang City in January - March 2018. The activities of the program is health education and skill training about caring for elderly. The results are 70 percent of families have good ability in carrying out family health care tasks; knowledge about elderly care at home is good with an average knowledge value of 8.6. From these results it can be concluded that training for caregivers is useful to improve the ability of caregivers and health status of the elderly.Keywords: caregiver care ability; chronic disease; elderly care at home.

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RFID-Based Human Behavior Modeling and Anomaly Detection for Elderly Care

Mobile Information Systems ◽

10.1155/2010/460103 ◽

2010 ◽

Vol 6 (4) ◽

pp. 341-354 ◽

Cited By ~ 15

Author(s):

Hui-Huang Hsu ◽

Chien-Chen Chen

Keyword(s):

Anomaly Detection ◽

Intelligent System ◽

Elderly Care ◽

The Elderly ◽

Behavior Modeling ◽

Abnormal Behavior ◽

Daily Movement ◽

Movement Data ◽

Novel Approach ◽

At Home

This research aimed at building an intelligent system that can detect abnormal behavior for the elderly at home. Active RFID tags can be deployed at home to help collect daily movement data of the elderly who carries an RFID reader. When the reader detects the signals from the tags, RSSI values that represent signal strength are obtained. The RSSI values are reversely related to the distance between the tags and the reader and they are recorded following the movement of the user. The movement patterns, not the exact locations, of the user are the major concern. With the movement data (RSSI values), the clustering technique is then used to build a personalized model of normal behavior. After the model is built, any incoming datum outside the model can be viewed as abnormal and an alarm can be raised by the system. In this paper, we present the system architecture for RFID data collection and preprocessing, clustering for anomaly detection, and experimental results. The results show that this novel approach is promising.

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Prevalence of Risk Factors for Falls Among the Elderly Receiving Care at Home

Salmand ◽

10.32598/sija.13.special-issue.638 ◽

2019 ◽

pp. 638-651

Author(s):

Faroogh Na'emani ◽

Morad Esmaiil Zali ◽

Zahra Sohrabi ◽

Ahmad Fayaz-Bakhsh

Keyword(s):

Risk Factors ◽

The Elderly ◽

Care At Home ◽

Risk Factors For Falls ◽

At Home

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Home Interactive Elderly Care Two-Way Video Healthcare System Design

Journal of Healthcare Engineering ◽

10.1155/2021/6693617 ◽

2021 ◽

Vol 2021 ◽

pp. 1-11

Author(s):

Chun Yi ◽

Xiqiang Feng

Keyword(s):

Interaction Design ◽

Design Theory ◽

Service System ◽

Elderly Care ◽

The Elderly ◽

Daily Lives ◽

Care For The Elderly ◽

Behavioural Characteristics ◽

Function Modules ◽

At Home

This paper explores and analyses the interactive home geriatric two-way video health care system, investigates and analyses the daily lives and behaviours of the elderly in their homes through research interviews, obtains the main needs of the elderly population in their lives, as well as their cognitive and behavioural characteristics, and proposes four service function modules for the elderly in their homes; then, combining service design and interaction design theory, we propose the following four service modules for the elderly in their homes. Given the design methods and processes of the intelligent service system for the elderly at home as well as the interface interaction design principles on the three levels of vision, interaction, and reflection, the intelligent service system platform for the elderly at home was constructed, the interaction design of the mobile device terminal software of the service system platform practiced in the form of APP, and the eye-movement experiment method and fuzzy hierarchical analysis were applied to the design of the intelligent service system for the elderly at home from qualitative and quantitative perspectives. The thesis study provides a new way of thinking to design and provide intelligent service system products for the elderly living at home, which is an important contribution to society’s care for the elderly and their quality of life. The key features of the human skeleton are extracted from the model of abnormal leaning and falling behaviour of the elderly, and the SVM machine learning method is used to classify and identify the data, which enables the identification of the abnormal behaviour of the elderly at home with an accuracy of 97%.

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