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 …
Spatio-temporal abnormal behavior prediction in elderly persons using deep learning models
M Zerkouk, B Chikhaoui - Sensors, 2020 - mdpi.com
The ability to identify and accurately predict abnormal behavior is important for health
monitoring systems in smart environments. Specifically, for elderly persons wishing to …
monitoring systems in smart environments. Specifically, for elderly persons wishing to …
Piezoelectroluminescent fiber-optic sensors for temperature and deformation fields
AA Pan'kov - Sensors and Actuators A: Physical, 2019 - Elsevier
In this research the new designs and algorithms for the piezoelectroluminescent fiber-optic
sensors functioning were developed for purposes of diagnosing the distribution of …
sensors functioning were developed for purposes of diagnosing the distribution of …
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 …
Long short term memory based model for abnormal behavior prediction in elderly persons
M Zerkouk, B Chikhaoui - How AI Impacts Urban Living and Public Health …, 2019 - Springer
Smart home refers to the independency and comfort that are ensured by remote monitoring
and assistive services. Assisting an elderly person requires identifying and accurately …
and assistive services. Assisting an elderly person requires identifying and accurately …
Living sensors: The greenest paradigm in instrumentation and measurements
C Trigona - IEEE Instrumentation & Measurement Magazine, 2023 - ieeexplore.ieee.org
The advent of latest technologies, rising materials and solutions is enabling a brand-new
wave of innovation. Going into more detail on electronic solutions, measuring architectures …
wave of innovation. Going into more detail on electronic solutions, measuring architectures …
Interference-aware wireless networks for home monitoring and performance evaluation
In this paper, a home Internet-of-Things system is analyzed by dividing it into four layers, ie,
the node layer, gateway layer, service layer, and open layer. The gateway layer, which …
the node layer, gateway layer, service layer, and open layer. The gateway layer, which …
[PDF][PDF] Tracking and automating a library system using radio frequency identification technology
A Alwadi, J Kilby, A Gawanmeh - International Journal on Smart …, 2017 - sciendo.com
This paper discusses implementing a Location-Aware Library RFID service employing
Radio Frequency Identification as a communication technology. Automating a library system …
Radio Frequency Identification as a communication technology. Automating a library system …
Deep convolutional neural network classifier for travel patterns using binary sensors
The early detection of dementia is crucial in independent life style of elderly people. Main
intention of this study is to propose device-free non-privacy invasive Deep Convolutional …
intention of this study is to propose device-free non-privacy invasive Deep Convolutional …