Integrating IoT platforms using the INTER-IoT approach: A case study of the CasAware project

2020 ◽  
Vol 12 (6) ◽  
pp. 457-474
Author(s):  
Gianfranco E. Modoni ◽  
Enrico G. Caldarola ◽  
Nicola Mincuzzi ◽  
Marco Sacco ◽  
Katarzyna Wasielewska ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Well Being ◽  
Software Tools ◽  
Data Models ◽  
Research Project ◽  
Iot Platforms

CasAware is an Ambient Assisted Living platform, developed within an Italian research project, with the aim to improve the level of comfort and well-being of inhabitants of a house, while optimizing the energy consumption. A key feature, for successful realization of such a platform, is its capability to interoperate with other IoT platforms, which can augment CasAware with additional services. Indeed, this capability facilitates smooth communication between CasAware devices and external devices connected to other IoT platforms, thus allowing efficient exchange of messages among them. However, such integration is hindered by the heterogeneity of data models used in different platforms, which is also related to lack of common standards. In order to realize integration needed for CasAware, this paper presents an approach which exploits results of the INTER-IoT project. Specifically, the INTER-IoT methodology and a set of software tools for achieving IoT interoperability are applied. In the presented study, it is shown how the INTER-IoT based approach can facilitate interoperability between CasAware and two other platforms, which use completely different data models.

Dependability analysis in the Ambient Assisted Living Domain: An exploratory case study

2012 ◽  
Vol 85 (1) ◽  
pp. 112-131 ◽  
Author(s):  
Genaína Nunes Rodrigues ◽  
Vander Alves ◽  
Renato Silveira ◽  
Luiz A. Laranjeira
Keyword(s):  
Assisted Living ◽  
Ambient Assisted Living ◽  
Exploratory Case Study ◽  
Dependability Analysis

scholarly journals Serious Motion-Based Exercise Games for Older Adults: Evaluation of Usability, Performance, and Pain Mitigation

10.2196/14182 ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. e14182
Author(s):  
Philipp Brauner ◽  
Martina Ziefle
Keyword(s):  
Older Adults ◽  
Health Care ◽  
Assisted Living ◽  
Independent Living ◽  
Serious Games ◽  
Health Care Systems ◽  
Ambient Assisted Living ◽  
Well Being ◽  
Demographic Shift ◽  
Performance Effect

Background Many societies are facing demographic changes that challenge the viability of health and welfare systems. Serious games for health care and ambient assisted living (AAL) offer health benefits and support for older adults and may mitigate some of the negative effects of the demographic shift. Objective This study aimed to examine the acceptance of serious games to promote physical health in AAL environments. Since AAL environments are designed specifically to support independent living in older adults, we studied the relationship among age and user diversity, performance in the game, and overall usability and acceptance evaluation. Methods We developed a motion-based serious exercise game for prototypical AAL environments. In two evaluations, outside (n=71) and within (n=64) the AAL environment, we investigated the influence of age, gender, self-efficacy in interacting with technology, need for achievement on performance, effect of the game, usability evaluation of the game, and overall acceptance. Results Both games were evaluated as easy to use and fun to play. Both game interventions had a strong pain-mitigating effect in older adults (game 1: −55%, P=.002; game 2: −66%, P=.01). Conclusions Serious exercise games outside and inside AAL environments can contribute to individuals’ health and well-being and to the stability of health care systems.

scholarly journals Using Ambient Assisted Living to Monitor Older Adults With Alzheimer Disease: Single-Case Study to Validate the Monitoring Report

10.2196/20215 ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. e20215 ◽  
Author(s):  
Maxime Lussier ◽  
Aline Aboujaoudé ◽  
Mélanie Couture ◽  
Maxim Moreau ◽  
Catherine Laliberté ◽  
...  
Keyword(s):  
Assisted Living ◽  
Concurrent Validity ◽  
Daily Living ◽  
Health Care Services ◽  
Single Case ◽  
Ambient Assisted Living ◽  
Single Case Study ◽  
Care Services ◽  
Over Time

Background Many older adults choose to live independently in their homes for as long as possible, despite psychosocial and medical conditions that compromise their independence in daily living and safety. Faced with unprecedented challenges in allocating resources, home care administrators are increasingly open to using monitoring technologies known as ambient assisted living (AAL) to better support care recipients. To be effective, these technologies should be able to report clinically relevant changes to support decision making at an individual level. Objective The aim of this study is to examine the concurrent validity of AAL monitoring reports and information gathered by care professionals using triangulation. Methods This longitudinal single-case study spans over 490 days of monitoring a 90-year-old woman with Alzheimer disease receiving support from local health care services. A clinical nurse in charge of her health and social care was interviewed 3 times during the project. Linear mixed models for repeated measures were used to analyze each daily activity (ie, sleep, outing activities, periods of low mobility, cooking-related activities, hygiene-related activities). Significant changes observed in data from monitoring reports were compared with information gathered by the care professional to explore concurrent validity. Results Over time, the monitoring reports showed evolving trends in the care recipient’s daily activities. Significant activity changes occurred over time regarding sleep, outings, cooking, mobility, and hygiene-related activities. Although the nurse observed some trends, the monitoring reports highlighted information that the nurse had not yet identified. Most trends detected in the monitoring reports were consistent with the clinical information gathered by the nurse. In addition, the AAL system detected changes in daily trends following an intervention specific to meal preparation. Conclusions Overall, trends identified by AAL monitoring are consistent with clinical reports. They help answer the nurse’s questions and help the nurse develop interventions to maintain the care recipient at home. These findings suggest the vast potential of AAL technologies to support health care services and aging in place by providing valid and clinically relevant information over time regarding activities of daily living. Such data are essential when other sources yield incomplete information for decision making.

scholarly journals Learning Robot Vision for Assisted Living

2013 ◽  
pp. 257-280
Author(s):  
Wenjie Yan ◽  
Elena Torta ◽  
David van der Pol ◽  
Nils Meins ◽  
Cornelius Weber ◽  
...  
Keyword(s):  
Assisted Living ◽  
Input Data ◽  
Robot Navigation ◽  
Ambient Assisted Living ◽  
Robot Vision ◽  
Human Robot Interaction ◽  
Test Case ◽  
Robot Interaction ◽  
Learning Abilities

This chapter presents an overview of a typical scenario of Ambient Assisted Living (AAL) in which a robot navigates to a person for conveying information. Indoor robot navigation is a challenging task due to the complexity of real-home environments and the need of online learning abilities to adjust for dynamic conditions. A comparison between systems with different sensor typologies shows that vision-based systems promise to provide good performance and a wide scope of usage at reasonable cost. Moreover, vision-based systems can perform different tasks simultaneously by applying different algorithms to the input data stream thus enhancing the flexibility of the system. The authors introduce the state of the art of several computer vision methods for realizing indoor robotic navigation to a person and human-robot interaction. A case study has been conducted in which a robot, which is part of an AAL system, navigates to a person and interacts with her. The authors evaluate this test case and give an outlook on the potential of learning robot vision in ambient homes.

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