A survey on wearable sensor modality centred human activity recognition in health care
Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …
population structure. Aging-caused changes, such as physical or cognitive decline, could …
The elderly's independent living in smart homes: A characterization of activities and sensing infrastructure survey to facilitate services development
Q Ni, AB Garcia Hernando, IP De la Cruz - Sensors, 2015 - mdpi.com
Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …
monitoring of a rapidly aging population in developed countries. Most works in this area use …
Activity recognition using hybrid generative/discriminative models on home environments using binary sensors
Activities of daily living are good indicators of elderly health status, and activity recognition in
smart environments is a well-known problem that has been previously addressed by several …
smart environments is a well-known problem that has been previously addressed by several …
Task offloading in edge computing for machine learning-based smart healthcare
M Aazam, S Zeadally, EF Flushing - Computer networks, 2021 - Elsevier
Recent advances in networking and mobile technologies such as 5G, long-term evolution
(LTE), LiFi, wireless broadband (WiBro), WiFi-Direct, Bluetooth Low Energy (BLE) have …
(LTE), LiFi, wireless broadband (WiBro), WiFi-Direct, Bluetooth Low Energy (BLE) have …
A review of smart homes in healthcare
M Amiribesheli, A Benmansour… - Journal of Ambient …, 2015 - Springer
Abstract The technology of Smart Homes (SH), as an instance of ambient assisted living
technologies, is designed to assist the homes' residents accomplishing their daily-living …
technologies, is designed to assist the homes' residents accomplishing their daily-living …
Predicting human behaviour with recurrent neural networks
As the average age of the urban population increases, cities must adapt to improve the
quality of life of their citizens. The City4Age H2020 project is working on the early detection …
quality of life of their citizens. The City4Age H2020 project is working on the early detection …
Modeling and control with neural networks for a magnetic levitation system
This study presents the model and control of the magnetic levitation system. The model
considers the angular position of the ball, also a neural network approximates the …
considers the angular position of the ball, also a neural network approximates the …
A tailored smart home for dementia care
M Amiribesheli, H Bouchachia - Journal of Ambient Intelligence and …, 2018 - Springer
Dementia refers to a group of chronic conditions that cause the permanent and gradual
cognitive decline. Therefore, a Person with Dementia (PwD) requires constant care from …
cognitive decline. Therefore, a Person with Dementia (PwD) requires constant care from …
Extending knowledge-driven activity models through data-driven learning techniques
Abstract Knowledge-driven activity recognition is an emerging and promising research area
which has already shown very interesting features and advantages. However, there are also …
which has already shown very interesting features and advantages. However, there are also …
Active and adaptive ensemble learning for online activity recognition from data streams
B Krawczyk - Knowledge-Based Systems, 2017 - Elsevier
Activity recognition is one of the emerging trends in the domain of mining ubiquitous
environments. It assumes that we can recognize the current action undertaken by the …
environments. It assumes that we can recognize the current action undertaken by the …