Ambient sensors for elderly care and independent living: a survey
Elderly care at home is a matter of great concern if the elderly live alone, since unforeseen
circumstances might occur that affect their well-being. Technologies that assist the elderly in …
circumstances might occur that affect their well-being. Technologies that assist the elderly in …
Information technologies for active and assisted living—Influences to the quality of life of an ageing society
C Siegel, TE Dorner - International journal of medical informatics, 2017 - Elsevier
Introduction and objectives The current and upcoming demographic change in industrial
countries is a challenge for our society, economically as well as socially. The aim of this …
countries is a challenge for our society, economically as well as socially. The aim of this …
A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare
Recently, human healthcare from body sensor data has been getting remarkable research
attentions by a huge range of human-computer interaction and pattern analysis researchers …
attentions by a huge range of human-computer interaction and pattern analysis researchers …
Smart home: Highly-educated students' acceptance
P Baudier, C Ammi, M Deboeuf-Rouchon - Technological Forecasting and …, 2020 - Elsevier
In the coming years, cities face an urban transition in order to manage their resources, public
administration, safety, regional economics, education, innovation, health, culture, and …
administration, safety, regional economics, education, innovation, health, culture, and …
A hybrid deep learning model for human activity recognition using multimodal body sensing data
Human activity recognition from multimodal body sensor data has proven to be an effective
approach for the care of elderly or physically impaired people in a smart healthcare …
approach for the care of elderly or physically impaired people in a smart healthcare …
Literature review on monitoring technologies and their outcomes in independently living elderly people
KKB Peetoom, MAS Lexis, M Joore… - Disability and …, 2015 - Taylor & Francis
Purpose: To obtain insight into what kind of monitoring technologies exist to monitor activity
in-home, what the characteristics and aims of applying these technologies are, what kind of …
in-home, what the characteristics and aims of applying these technologies are, what kind of …
Activity recognition for cognitive assistance using body sensors data and deep convolutional neural network
In this paper, we propose a robust activity recognition approach for smart healthcare using
body sensors and deep convolutional neural network (CNN). We analyze signals from …
body sensors and deep convolutional neural network (CNN). We analyze signals from …
Human activity recognition based on feature selection in smart home using back-propagation algorithm
H Fang, L He, H Si, P Liu, X Xie - ISA transactions, 2014 - Elsevier
In this paper, Back-propagation (BP) algorithm has been used to train the feed forward
neural network for human activity recognition in smart home environments, and inter-class …
neural network for human activity recognition in smart home environments, and inter-class …
Data filtering and deep learning for enhanced human activity recognition from UWB radars
Human activity recognition (HAR) is among the most popular research topics. Indeed,
recognizing human activities can help provide appropriate assistance to older adults and …
recognizing human activities can help provide appropriate assistance to older adults and …
[PDF][PDF] Cost-based goal recognition for path-planning
Recent developments in plan recognition have established a method of identifying an
agent's most probable plan or goal by use of a classical planner and an appeal to the …
agent's most probable plan or goal by use of a classical planner and an appeal to the …