Mobile Information Systems

Ambient Assisted Living and Ambient Intelligence for Health


Status
Published

1University of La Laguna, Tenerife, Spain

2Heriot-Watt University, Edinburgh, UK

3University of Newcastle, Callaghan, Australia

4Florida State University, Tallahassee, USA


Ambient Assisted Living and Ambient Intelligence for Health

Description

Ambient assisted living proposes solutions based on information and communication technologies to enhance the quality of life of people who need assistance at home. It promotes the development of infrastructures and services for the independent or more autonomous living, through the integration of information and communication technologies in homes and residences, thus increasing their quality of life and autonomy and reducing the need for external assistance. A natural and critical human need, where ambient intelligence can be used, is healthcare. In such a domain, secure mobile and ubiquitous systems can be used to improve the quality of life of people. Although research in environmental intelligence used in health applications is gaining momentum, it has not yet reached a level of maturity. The reasons for such deficiency include not only the challenges of understanding the health domain by computer scientists, but also the difficulty of dealing with a critical domain, where errors are unacceptable.

This special issue is aimed at boosting this area of research, focusing not only on the innovations in infrastructure and technology needed to achieve the ambient intelligence in assisted living and health, such as smart environments and wearable and mobile medical devices, but also on the development of novel testing, verification, and evaluation techniques to enable the effective and secure implementation of such innovations. We invite authors to submit original research and review articles that address these challenges.

Potential topics include but are not limited to the following:

  • Activity recognition systems through wearable and mobile devices
  • Behaviour analysis in ambient assisted living environments
  • Context-awareness in assistive environments
  • Data analytics for health environments
  • Health, wellness, and secure disease monitoring through mobile systems
  • Knowledge management for health: context, behavior, and user modeling
  • Learning tools for handicapped people
  • Mobile and ubiquitous health
  • Mobile solutions for active ageing, social integration, and self-care
  • Monitoring of chronic and nonchronic diseases in ambient assisted living
  • Physiological data acquisition system based on mobile computing
  • Security and privacy in ambient assisted living
  • Sensing, data management, and big data in ambient assisted living
  • Use of mobile technologies in the health domain
  • Smart homes for ambient assisted living

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 7560465
  • - Editorial

Ambient Assisted Living and Ambient Intelligence for Health

Pino Caballero-Gil | Lilia Georgieva | ... | Mike Burmester
  • Special Issue
  • - Volume 2018
  • - Article ID 5214067
  • - Research Article

Deep Learning versus Professional Healthcare Equipment: A Fine-Grained Breathing Rate Monitoring Model

Bang Liu | Xili Dai | ... | Ming Liu
  • Special Issue
  • - Volume 2018
  • - Article ID 8198379
  • - Research Article

Improving Learning Tasks for Mentally Handicapped People Using AmI Environments Based on Cyber-Physical Systems

Diego Martín | Borja Bordel | ... | Yone Castro
  • Special Issue
  • - Volume 2018
  • - Article ID 4216172
  • - Research Article

A Fuzzy Logic-Based Personalized Method to Classify Perceived Exertion in Workplaces Using a Wearable Heart Rate Sensor

Pablo Pancardo | J. A. Hernández-Nolasco | Francisco Acosta-Escalante
  • Special Issue
  • - Volume 2018
  • - Article ID 7381264
  • - Research Article

Gait Analysis Using Computer Vision Based on Cloud Platform and Mobile Device

Mario Nieto-Hidalgo | Francisco Javier Ferrández-Pastor | ... | Juan Manuel García-Chamizo
  • Special Issue
  • - Volume 2017
  • - Article ID 1310345
  • - Research Article

Gait Speed Measurement for Elderly Patients with Risk of Frailty

Xavier Ferre | Elena Villalba-Mora | ... | Francisco del Pozo-Guerrero
  • Special Issue
  • - Volume 2017
  • - Article ID 5253613
  • - Research Article

Massage Therapy of the Back Using a Real-Time Haptic-Enhanced Telerehabilitation System

Cristina Ramírez-Fernández | Victoria Meza-Kubo | ... | Nirvana Green
  • Special Issue
  • - Volume 2017
  • - Article ID 3185481
  • - Research Article

Semantic and Virtual Reality-Enhanced Configuration of Domestic Environments: The Smart Home Simulator

Daniele Spoladore | Sara Arlati | Marco Sacco
  • Special Issue
  • - Volume 2017
  • - Article ID 9302328
  • - Research Article

Helping Elderly Users Report Pain Levels: A Study of User Experience with Mobile and Wearable Interfaces

Iyubanit Rodríguez | Gabriela Cajamarca | ... | Mauricio Campos
  • Special Issue
  • - Volume 2017
  • - Article ID 7261958
  • - Research Article

DAFIESKU: A System for Acquiring Mobile Physiological Data

Maider Simón | Ezekiel Sarasua | ... | Nestor Garay-Vitoria
Mobile Information Systems
 Journal metrics
Acceptance rate37%
Submission to final decision102 days
Acceptance to publication42 days
CiteScore3.900
Impact Factor1.508
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