Effectiveness Evaluation of Smart Home Technology in Preventing and Detecting Falls in Community and Residential Care Settings for Older Adults: A Systematic …

CXY Lui, N Yang, A Tang, WW San Tam - Journal of the American Medical …, 2024 - Elsevier
Objectives To assess the effectiveness of smart home technologies (SHTs) in preventing
and detecting falls among older adults in community and residential care settings. Design …

Sensors, Internet of Things and Artificial Intelligence for the Diagnosis and Prevention of Falls and Fall-Related Injuries in Older People—An Exercise-Related …

W Kemmler - Artificial Intelligence in Sports, Movement, and Health, 2024 - Springer
Falls are the leading cause of injury, hospitalization, and accidental death in older people.
Many studies provide considerable evidence that the majority of health-related aspects of …

Emergence of Urban Ageing Based on Technological Solutions to Ensure Smart Urban Sustainable Development: Emergence of an Urban Ageing Ecosystem

V Roblek, V Dimovski, J Peterlin - Digital Transformation and …, 2024 - igi-global.com
The increasing ageing of the population in European cities is driving the adoption of urban
ageing policies, which are increasingly based on the integration of smart technologies in …

A Comparative Study of Body Motion Recognition Methods for Elderly Fall Detection: A Review

R Apriantoro, MAKR Setyawan… - Ultimatics: Jurnal Teknik …, 2024 - ejournals.umn.ac.id
To maintain the welfare of the elderly, intensive and effective monitoring is needed to ensure
their safety. Conventional elderly activity monitoring has several limitations (ie, space and …

Reimagining Health Tracking: Raspberry Pi Innovations for Holistic Wellness

R Rani, KS Gill, R Chauhan… - 2024 First International …, 2024 - ieeexplore.ieee.org
This IoT-based health monitoring system, developed using Raspberry Pi, incorporates
various devices and sensors to track individual health. By using light incidence, it measures …

[PDF][PDF] Optimising Performance Metrics Through Data Management: Leveraging Real-World Data in Cloud and Fog Computing Scenarios for IoT Networks in Smart …

KN Lawal - 2024 - researchonline.gcu.ac.uk
The increased use of heterogeneous and homogeneous smart devices in smart homes
increases the rate of energy consumption. Among the plethora of smart devices within a …

Technology-driven Elderly-Friendly Design-Focus on AR Glasses Service for Elderly Companionship

Y Zhou, K Nah - 한국디자인문화학회지, 2024 - dbpia.co.kr
The aging population is a global trend, particularly highlighted in Asian countries that have
traditionally maintained family and community-centric lifestyles. With the rapid development …

Tag-free indoor fall detection using transformer network encoder and data fusion

MZ Khan, M Usman, J Ahmad, MMU Rahman… - Scientific reports, 2024 - nature.com
This work presents a radio frequency identification (RFID)-based technique to detect falls in
the elderly. The proposed RFID-based approach offers a practical and efficient alternative to …

Integrating 3dcnn Attention Mechanism with Pose Estimation for Indoor Fall Detection

R Jayaswal, A Pathak, S Mahajan - Available at SSRN 4883239 - papers.ssrn.com
In indoor locations, fall detection frameworks are critical for assuring the safety of each
individual person as well as elderly person. This research paper presents a novel approach …

[引用][C] Automated Indoor Activity Monitoring for Elderly and Visually Impaired People using Quantum Salp Swarm Algorithm with Machine Learning

JS Alzahrani, M Rizwanullah, AE Osman - Fractals, 2024 - World Scientific
Elderly and vision-impaired indoor activity monitoring uses sensor technology to monitor
interaction and movement in the living area. This system can identify deviations from regular …