A review and categorization of techniques on device-free human activity recognition

Z Hussain, QZ Sheng, WE Zhang - Journal of Network and Computer …, 2020 - Elsevier
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Different approaches for human activity recognition: A survey

Z Hussain, M Sheng, WE Zhang - arXiv preprint arXiv:1906.05074, 2019 - arxiv.org
Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Enhancing elderly fall detection through IoT-enabled smart flooring and AI for independent living sustainability

HA Alharbi, KK Alharbi, CAU Hassan - Sustainability, 2023 - mdpi.com
In the realm of sustainable IoT and AI applications for the well-being of elderly individuals
living alone in their homes, falls can have severe consequences. These consequences …

Recognition of falls using dense sensing in an ambient assisted living environment

A Wickramasinghe, RLS Torres… - Pervasive and mobile …, 2017 - Elsevier
Long-lie situations following a fall is detrimental, particularly for older people as they are not
only affected physically but also psychologically. In this paper, we describe a dense sensing …

A Cost-Effective Fall-Detection Framework for the Elderly Using Sensor-Based Technologies

CAU Hassan, FK Karim, A Abbas, J Iqbal, H Elmannai… - Sustainability, 2023 - mdpi.com
Falls are critical events among the elderly living alone in their rooms and can have intense
consequences, such as the elderly person being left to lie for a long time after the fall …

Collaborative fall detection using smart phone and Kinect

X Li, L Nie, H Xu, X Wang - Mobile Networks and Applications, 2018 - Springer
Humanfall detection has attracted broad attentions as sensors and mobile devices are
increasingly adopted in real-life scenarios such as smart homes. The complexity of activities …

RF-IDH: An intelligent fall detection system for hemodialysis patients via COTS RFID

Y Chen, F Xiao, H Huang, L Sun - Future Generation Computer Systems, 2020 - Elsevier
Unhealthy habits lead to a growing population of hemodialysis patients. The single
treatment of hemodialysis is about four hours long. Therefore, patients usually go to the toilet …

Detecção de posição e quedas corporais baseado em K-means clustering eThreshold

L Malheiros - 2018 - icts.unb.br
A queda de idosos é caso de saúde pública em todo o mundo e esse assunto tem sido alvo
de pesquisa e desenvolvimento tecnológico com objetivo de amenizar as consequências …

" Bit-Oriented Generators For Wireless Sensor Networks and Low Cost RFID Transponders

R Ghosal, DC Ranasinghe, PH Cole - Proceedings of the Fourth …, 2008 - actapress.com
BIT-ORIENTED GENERATORS FOR WIRELESS SENSOR NETWORKS AND LOW COST RFID
TRANSPONDERS Raja Ghosal1 , Damith C. Ranasinghe2 and Peter H. Cole1 1 School of …

Kognitiivisen tietojenkäsittelyn teknologia terveydenhuollon tietovarantojen hyödyntämisessä

N Pääkkönen - 2018 - jyx.jyu.fi
Tutkielmassa tarkastellaan kognitiivisen tietojenkäsittelyn teknologiaa ja kuinka sen
käyttöönotto terveydenhuollon eri osa-alueilla vaikuttaa palveluihin ja prosesseihin …