Designing a Compact Wireless Network based Device-free Passive Localisation System for Indoor Environments

2015 ◽  
Vol 4 (2) ◽  
pp. 28-43 ◽  
Author(s):  
Philip Vance ◽  
Girijesh Prasad ◽  
Jim Harkin ◽  
Kevin Curran
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Design Procedure ◽  
The Elderly ◽  
Healthcare Services ◽  
Processing Technique ◽  
Human Detection ◽  
Indoor Environments ◽  
Signal Processing Technique ◽  
Device Free

Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living for the elderly. Healthcare services globally are seeking to allow people to stay in their familiar home environments longer due to the multitude of benefits associated with living in non-clinical environments and technologies to determine an individual's movements are key to ensuring that home emergencies are detected through lack of movement can be responded to promptly. This paper proposes a device-free localisation (DFL) system which would enable the individual to proceed with normal daily activities without the concern of having to wear a traceable device. The principle behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The proposed system design procedure facilitates the use of a minimum number of wireless nodes with the help of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolution with a minimal hardware infrastructure.

Designing a Compact Wireless Network Based Device-Free Passive Localisation System for Indoor Environments

2018 ◽  
pp. 1424-1439
Author(s):  
Philip Vance ◽  
Girijesh Prasad ◽  
Jim Harkin ◽  
Kevin Curran
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Design Procedure ◽  
The Elderly ◽  
Healthcare Services ◽  
Indoor Environments ◽  
Signal Processing Technique ◽  
Minimum Number ◽  
The Individual ◽  
Device Free

Determining the location of individuals within indoor locations can be useful in various scenarios including security, gaming and ambient assisted living for the elderly. Healthcare services globally are seeking to allow people to stay in their familiar home environments longer due to the multitude of benefits associated with living in non-clinical environments and technologies to determine an individual's movements are key to ensuring that home emergencies are detected through lack of movement can be responded to promptly. This paper proposes a device-free localisation (DFL) system which would enable the individual to proceed with normal daily activities without the concern of having to wear a traceable device. The principle behind this is that the human body absorbs/reflects the radio signal being transmitted from a transmitter to one or more receiving stations. The proposed system design procedure facilitates the use of a minimum number of wireless nodes with the help of a principle component analysis (PCA) based intelligent signal processing technique. Results demonstrate that human detection and tracking are possible to within 1m resolution with a minimal hardware infrastructure.

scholarly journals Usability Heuristic Evaluation in AAL Ecosystems

2020 ◽  
Author(s):  
Carlos Romeiro ◽  
Pedro Araújo
Keyword(s):  
Information And Communication Technologies ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Life Quality ◽  
User Interaction ◽  
Evaluation Process ◽  
The Elderly ◽  
Healthcare Services ◽  
Developed Countries ◽  
End User

In the past few  years there has been a significant growth of the elderly population   in both developing and developed countries. This event provided new economic, technical and demographic challenges to current societies in several areas and services. Among them the healthcare services can be highlighted, due to its impact in people daily lives. As a natural response an effort has been made by both the scientific and industrial community to develop alternatives, which could mitigate the current healthcare services bottlenecks and provide means in aiding and improve the end-user life quality. Through a combination of information and communication technologies specialized ecosystems have been developed, however multiple challenges arose, which compromise their adoption and acceptance among the main stakeholders, such as their autonomy, robustness, security, integration, human-computer interactions and usability. As consequence an effort has been made to deal with the technical related bottlenecks, which shifted the development process focus from the end-user to the ecosystems technological impairments. Despite there being user related issues, such as usability, which still remains to be addressed. Therefore this article focuses over the ecosystem’s usability through the analysis of the process used to check the ecosystem’s compliance level with the usability guidelines from Jakob Nielsen and Shneiderman; and the identification of the quantifiable parameters for each principle that could aid in the heuristics evaluation process by maximizing its objectivity improve its overall accuracy. Keywords: Usability, Ambient assisted living, User interaction, Older people, Heuristics analysis

Elderly Monitoring and AAL for Independent Living at Home

2016 ◽  
pp. 154-181 ◽  
Author(s):  
Fabio Veronese ◽  
Hassan Saidinejad ◽  
Sara Comai ◽  
Fabio Salice
Keyword(s):  
Assisted Living ◽  
Independent Living ◽  
Elderly Person ◽  
Ambient Assisted Living ◽  
Design Procedure ◽  
The Elderly ◽  
Quality Life ◽  
Key Aspects ◽  
Current Paradigm ◽  
Elderly Living

The population ageing is inevitably going to change the society and the elderly living dynamics. Optimization of resources, independent living and enhancement of elderly's social, working, and physical activities are the key aspects of this changing. The current paradigm is Ambient Assisted Living (AAL), where the elderly person is enabled to live an independent and high-quality life by empowering the ambient around him/her. Home Automation can provide a two-way contribution: it represents an opportunity to help overcoming difficulties; while its pervasive instrumentation provides precious information. Being aware of the elderly's activities has several applications: for the families, reassuring them about their beloved's safety, for the caregivers, enabling them to provide prompt interventions. To highlight this aspect, it is possible to refer to AAML: Ambient Assisted and Monitored Living. This chapter introduces the design procedure of AAML systems, and their main challenges: user's needs centrality, data visualization and dependability.

scholarly journals Ambient Assisted Living: A Research on Human Activity Recognition and Vital Health Sign Monitoring using Deep Learning Approaches

2019 ◽  
Vol 8 (6S4) ◽  
pp. 531-540
Keyword(s):  
Deep Learning ◽  
Activity Recognition ◽  
Human Activity ◽  
Assisted Living ◽  
Independent Living ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Human Activity Recognition ◽  
Living Environment ◽  
Learning Approaches

The rise in life expectancy rate and dwindled birth rate in new age society has led to the phenomenon of population ageing which is being witnessed across the world from past few decades. India is also a part of this demographic transition which will have the direct impact on the societal and economic conditions of the country. In order to effectively deal with the prevailing phenomenon, stakeholders involved are coming up with the Information and Communication Technology (ICT) based ecosystem to address the needs of elderly people such as independent living, activity recognition, vital health sign monitoring, prevention from social isolation etc. Ambient Assisted Living (AAL) is one such ecosystem which is capable of providing safe and secured living environment for the elderly and disabled people. In this paper we will focus on reviewing the sensor based Human Activity Recognition (HAR) and Vital Health Sign Monitoring (VHSM) which is applicable for AAL environments. At first we generally describe the AAL environment. Next we present brief insights into sensor modalities and different deep learning architectures. Later, we survey the existing literature for HAR and VHSM based on sensor modality and deep learning approach used.

scholarly journals IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing

Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6051
Author(s):  
Daniel Fuentes ◽  
Luís Correia ◽  
Nuno Costa ◽  
Arsénio Reis ◽  
José Ribeiro ◽  
...  
Keyword(s):  
Low Income ◽  
Assisted Living ◽  
Rural Areas ◽  
Low Cost ◽  
Elderly Care ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Case Scenario ◽  
Care Services ◽  
Socially Excluded

The Portuguese population is aging at an increasing rate, which introduces new problems, particularly in rural areas, where the population is small and widely spread throughout the territory. These people, mostly elderly, have low income and are often isolated and socially excluded. This work researches and proposes an affordable Ambient Assisted Living (AAL)-based solution to monitor the activities of elderly individuals, inside their homes, in a pervasive and non-intrusive way, while preserving their privacy. The solution uses a set of low-cost IoT sensor devices, computer vision algorithms and reasoning rules, to acquire data and recognize the activities performed by a subject inside a home. A conceptual architecture and a functional prototype were developed, the prototype being successfully tested in an environment similar to a real case scenario. The system and the underlying concept can be used as a building block for remote and distributed elderly care services, in which the elderly live autonomously in their homes, but have the attention of a caregiver when needed.

scholarly journals Human Detection in Video Surveillance

2021 ◽  
Vol 03 (01) ◽  
pp. 27-34
Author(s):  
Sushama Khanvilkar ◽  
◽  
Santosh Gupta ◽  
Hinal Rane ◽  
Calvin Galbaw ◽  
...  
Keyword(s):  
Deep Learning ◽  
Video Surveillance ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Human Detection ◽  
Fast Computation ◽  
Intelligent Surveillance ◽  
Fully Connected ◽  
Deep Learning Model ◽  
Naive Approach

Recognition of the human activities in videos has gathered numerous demands in various applications of computer vision like Ambient Assisted Living, intelligent surveillance, Human-Computer interaction. One of the most pioneering techniques for Human Detection in Video Surveillance based on deep learning and this project mainly focuses on various approaches based on that. This paper provides an idea of solution to use video surveillance more effectively, by detecting any humans present and notifying the concerned people. The deep learning model, preferred for fast computation, Convolution Neural Network is used by stacking 3 blocks of layers on fully connected layers. This provided an identification of humans and naïve approach to eliminate inanimate human like objects such as mannequins.

Virtual Carer

2019 ◽  
pp. 709-719
Author(s):  
Aldo Franco Dragoni
Keyword(s):  
Assisted Living ◽  
Social Inclusion ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Progressive Increase ◽  
Interactive Communication ◽  
Domestic Spaces ◽  
Phone Calls ◽  
Comprehensive Information ◽  
The Family

In view of the rapidly progressive increase in the average population age, “Ambient Assisted Living” (AAL) defines the actions and policies needed to promote the improvement of living conditions within domestic spaces to foster autonomy, safety, and social inclusion for the elderly or disabled. The idea is to design an innovative and comprehensive information system for AAL, an ICT-based “Virtual Caregiver,” which is informed, intelligent and friendly, and which constantly monitors the health warning, informing and advising the elderly while controlling the environment and then asking for help when needed. The system will have the ability to establish interactive communication with the person but also extend it automatically outside the house in times of need. Virtual Caregiver will be able to enable the software protocols that activate the emergency phone calls to the family, medics or even first aid in emergencies.

Reviewing Home Based Assistive Technologies

2015 ◽  
pp. 317-334 ◽  
Author(s):  
Panagiotis D. Bamidis ◽  
Evdokimos Konstantinidis ◽  
Antonis S. Billis ◽  
Anastasios Sioundas
Keyword(s):  
Case Studies ◽  
Elderly People ◽  
Assisted Living ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Population Ageing ◽  
Assistive Technologies ◽  
European Level ◽  
Home Based

Population ageing is an unprecedented challenge for human societies, which recently is globally tackled by new technologies. In this chapter technologies tailored for use by the elderly people termed ambient assisted living and e-health are discussed. Focus is only placed on those technologies that can be adapted for home use. Emphasis is drawn both on the technical front as well as on the application front based on recent literature. The scope is to make sure the audience reaches a sufficiently broad understanding of what technology is available for home use by elderly people. Applications and research efforts spent but also funded at the European level with a clear focus on those supported by elderly trials are provided. The chapter is enriched with case studies from various projects.

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