[HTML][HTML] Fall prevention intervention technologies: A conceptual framework and survey of the state of the art
In recent years, an ever increasing range of technology-based applications have been
developed with the goal of assisting in the delivery of more effective and efficient fall …
developed with the goal of assisting in the delivery of more effective and efficient fall …
Directing and orienting ICT healthcare solutions to address the needs of the aging population
Background: With an aging population, it is essential to maintain good health and autonomy
for as long as possible. Instead of hospitalisation or institutionalisation, older people with …
for as long as possible. Instead of hospitalisation or institutionalisation, older people with …
Unobtrusive activity recognition of elderly people living alone using anonymous binary sensors and DCNN
Elderly population (over the age of 60) is predicted to be 1.2 billion by 2025. Most of the
elderly people would like to stay alone in their own house due to the high eldercare cost and …
elderly people would like to stay alone in their own house due to the high eldercare cost and …
Device-free non-privacy invasive classification of elderly travel patterns in a smart house using PIR sensors and DCNN
Single resident life style is increasing among the elderly due to the issues of elderly care
cost and privacy invasion. However, the single life style cannot be maintained if they have …
cost and privacy invasion. However, the single life style cannot be maintained if they have …
Assistance from the Ambient Intelligence: Cyber–physical system applications in smart buildings for cognitively declined occupants
Caregivers have traditionally provided assistance and care to patients with cognitive
decline, but this has resulted in financial and emotional burdens for both caregivers and …
decline, but this has resulted in financial and emotional burdens for both caregivers and …
Usability study of a wireless monitoring system among Alzheimer's disease elderly population
S Abbate, M Avvenuti, J Light - International journal of …, 2014 - Wiley Online Library
Healthcare technologies are slowly entering into our daily lives, replacing old devices and
techniques with newer intelligent ones. Although they are meant to help people, the reaction …
techniques with newer intelligent ones. Although they are meant to help people, the reaction …
Pervasive mobile healthcare systems for chronic disease monitoring
G Huzooree, K Kumar Khedo… - Health informatics …, 2019 - journals.sagepub.com
Pervasive mobile healthcare system has the potential to improve healthcare and the quality
of life of chronic disease patients through continuous monitoring. Recently, many articles …
of life of chronic disease patients through continuous monitoring. Recently, many articles …
Towards automated assessment of frailty status using a wrist-worn device
Wearable sensors potentially enable monitoring the user's physical activity in daily life.
Therefore, they are particularly appealing for the evaluation of older subjects in their …
Therefore, they are particularly appealing for the evaluation of older subjects in their …
Deep Learning for human activity recognition based on causality feature extraction
YM Hwang, S Park, HO Lee, SK Ko, BT Lee - IEEE Access, 2021 - ieeexplore.ieee.org
We propose a novel data-driven feature extraction approach based on direct causality and
fuzzy temporal windows (FTWs) to improve the precision of human activity recognition and …
fuzzy temporal windows (FTWs) to improve the precision of human activity recognition and …
DCNN-based elderly activity recognition using binary sensors
In the past few decades, the number of elderly people who prefer to live independently is
significantly increasing among the elderly people due to the issues of privacy invasion and …
significantly increasing among the elderly people due to the issues of privacy invasion and …