scholarly journals An Architecture for the Integration of Robots and Sensors for the Care of the Elderly in an Ambient Assisted Living Environment

Robotics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 76 ◽  
Author(s):  
David Loza-Matovelle ◽  
Alexandra Verdugo ◽  
Eduardo Zalama ◽  
Jaime Gómez-García-Bermejo
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Web Server ◽  
The Elderly ◽  
Living Environment ◽  
Use Case ◽  
Sensors And Actuators ◽  
System A ◽  
Telepresence Robot ◽  
The Web

In this paper, the development of an assistance system for the elderly that combines robots with a network of sensors and actuators is described. The architecture was developed with the aim of interaction. With this reason, the system incorporates particular solutions that are adaptable to the needs of the user, such as a pyramid interaction system, a telepresence robot, a biometric bracelet, and others. In the software, the system is composed of two servers: local and web. The local server is in charge of different modules that interact with direct users and their needs. The web server provides different facilities to external users to access the system remotely. A use case is analyzed where the proposed system is validated.

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.

Ambient Assisted Living for People with Motor Impairments

2014 ◽  
pp. 76-104
Author(s):  
Ilia Adami ◽  
Margherita Antona ◽  
Constantine Stephanidis
Keyword(s):  
Information And Communication Technologies ◽  
Assisted Living ◽  
Independent Living ◽  
Elderly Person ◽  
Ambient Assisted Living ◽  
The Elderly ◽  
Living Environment ◽  
Motor Impairments ◽  
Worldwide Population ◽  
Information And Communication

The field of Ambient Assisted Living (AAL) has shown great potential in counteracting some of the effects of the worldwide population ageing phenomenon. Its main goal is to promote a safe, healthy, and functional living environment for the elderly and people with disabilities who wish to live independently in their home. To achieve this goal, AAL environments utilize Information and Communication Technologies (ICTs) and the emerging Ambient Intelligence (AmI) paradigm in order to provide sophisticated solutions that can support the needs of an elderly person or a person with disabilities, at home. This chapter will present examples of AAL environments found in research and academic literature and the solutions they offer to cater for the basic needs of people with motor impairments in order to support their independent living and quality of life. The challenges of using such technologies will also be discussed.

Forecasting Trends in an Ambient Assisted Living Environment Using Deep Learning

2021 ◽  
Author(s):  
Guillaume Gingras ◽  
Mehdi Adda ◽  
Abdenour Bouzouane ◽  
Hussein Ibrahim ◽  
Clemence Dallaire
Keyword(s):  
Deep Learning ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Living Environment

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.

A Multi-Disciplinary Approach to Ambient Assisted Living

2011 ◽  
pp. 76-93 ◽  
Author(s):  
Martina Ziefle ◽  
Carsten Röcker ◽  
Wiktoria Wilkowska ◽  
Kai Kasugai ◽  
Lars Klack ◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Medical Engineering ◽  
Interdisciplinary Approach ◽  
Healthcare Systems ◽  
Living Environment ◽  
Smart Healthcare ◽  
Interdisciplinary Research Project ◽  
Independent Life

This chapter illustrates the different disciplinary design challenges of smart healthcare systems and presents an interdisciplinary approach toward the development of an integrative Ambient Assisted Living environment. Within the last years a variety of new healthcare concepts for supporting and assisting users in technology-enhanced environments emerged. While such smart healthcare systems can help to minimize hospital stays and in so doing enable patients an independent life in a domestic environment, the complexity of such systems raises fundamental questions of behavior, communication and technology acceptance. The first part of the chapter describes the research challenges encountered in the fields of medical engineering, computer science, psychology, communication science, and architecture as well as their consequences for the design, use and acceptance of smart healthcare systems. The second part of the chapter shows how these disciplinary challenges were addressed within the eHealth project, an interdisciplinary research project at RWTH Aachen University.

A pattern analysis and visualisation system for sleep monitoring in ambient assisted living environment

2012 ◽  
Vol 1 (4) ◽  
pp. 320 ◽  
Author(s):  
Huiru Zheng ◽  
Haiying Wang ◽  
Hoda Nikamalfard ◽  
Maurice Mulvenna ◽  
Paul McCullagh ◽  
...  
Keyword(s):  
Assisted Living ◽  
Pattern Analysis ◽  
Ambient Assisted Living ◽  
Living Environment ◽  
Sleep Monitoring
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