Illuminating the dark spaces of healthcare with ambient intelligence

A Haque, A Milstein, L Fei-Fei - Nature, 2020 - nature.com
Advances in machine learning and contactless sensors have given rise to ambient
intelligence—physical spaces that are sensitive and responsive to the presence of humans …

Toward responsible artificial intelligence in long-term care: a sco** review on practical approaches

DRM Lukkien, HH Nap, HP Buimer, A Peine… - The …, 2023 - academic.oup.com
Abstract Background and Objectives Artificial intelligence (AI) is widely positioned to
become a key element of intelligent technologies used in the long-term care (LTC) for older …

Older adults' perspectives of smart home technology: Are we develo** the technology that older people want?

A Ghorayeb, R Comber, R Gooberman-Hill - International journal of human …, 2021 - Elsevier
New technology and smart homes have the potential to improve quality of life, safety, and
care for older people. However, we do not yet know how older people's perceptions of these …

Are we ready for artificial intelligence health monitoring in elder care?

A Ho - BMC geriatrics, 2020 - Springer
Background The world is experiencing a dramatic increase in the aging population,
challenging the sustainability of traditional care models that have relied on in-person …

[HTML][HTML] Cognitive impairment categorized in community-dwelling older adults with and without dementia using in-home sensors that recognise activities of daily living

P Urwyler, R Stucki, L Rampa, R Müri, UP Mosimann… - Scientific reports, 2017 - nature.com
Cognitive impairment due to dementia decreases functionality in Activities of Daily Living
(ADL). Its assessment is useful to identify care needs, risks and monitor disease …

Review of applications and user perceptions of smart home technology for health and environmental monitoring

JH Rhee, JH Ma, JO Seo, SH Cha - Journal of Computational …, 2022 - academic.oup.com
In recent decades, smart home technology has advanced, improving the well-being and
quality of life of its users. Thus, its applications have expanded, particularly in health and …

Application of wearable inertial sensors and a new test battery for distinguishing retrospective fallers from non-fallers among community-dwelling older people

H Qiu, RZU Rehman, X Yu, S ** review
CJ Gettel, K Chen, EM Goldberg - Journal of applied …, 2021 - journals.sagepub.com
Objectives: We aimed to describe recent technologic advances in the three domains of
dementia care, falls, and home supports; summarize existing literature on usability; and …

Gait analysis with wearables can accurately classify fallers from non-fallers: A step toward better management of neurological disorders

RZU Rehman, Y Zhou, S Del Din, L Alcock, C Hansen… - Sensors, 2020 - mdpi.com
Falls are the leading cause of mortality, morbidity and poor quality of life in older adults with
or without neurological conditions. Applying machine learning (ML) models to gait analysis …

[HTML][HTML] Spacetimematter of aging–The material temporalities of later life

V Gallistl, A Wanka - Journal of aging studies, 2023 - Elsevier
Material gerontology poses the question of how aging processes are co-constituted in
relation to different forms of (human and non-human) materiality. This paper makes a novel …