CAMI - Artificially intelligent ecosystem for self-management and sustainable quality of life in AAL (Ambient Assisted Living)

Status:

active

Start date:

2015-06-01

End date:

2018-05-31

Older adults are people with different needs, cognitive and motor abilities, and specific health conditions. Enhancing older adult’s quality of life by improving their autonomy and self-managing abilities calls for a personalized and integrated solution that can be tailored according to both individual preferences and necessities through a personalized combination of devices and services. In this context, CAMI is offering a fully integrated AAL solution by providing services for health management, home management and wellbeing (including socialization, and mobility support). CAMI builds an artificial intelligence ecosystem, which allows seamless integration of any number of ambient and wearable sensors with a mobile robotic platform endowed with multimodal interaction (touch, voice, person detection), including a telepresence robot with manipulatory capabilities.

The services offered by CAMI ecosystem address both healthy individuals as well as those with age-related impairments. CAMI solution will reconcile the increased demand for care in the current aging society with limited resources by supporting an efficient and sustainable care system. This will allow older adults to self-manage their daily life and prolong their involvement in the society while allowing their informal caregivers to continue working whilst caring for their loved ones.

CAMI builds upon and move beyond the current state of the art of technologies to support rich human-computer interaction, intelligent context management, environment perception and reactive behavior. Through a transnational effort in five European countries, CAMI addresses the wishes and needs of its end-users taking into account cultural, social and market diversity by involving them together with relevant stakeholders throughout the project lifecycle. This approach will ensure market success and will facilitate the commercialisation of CAMI’s solution within 2-3 years after the end of the project.

[Show all publications]

An Energy-aware Mutation Testing Framework for EAST-ADL Architectural Models (Oct 2017)
Raluca Marinescu, Predrag Filipovikj, Eduard Paul Enoiu, Jonatan Larsson , Cristina Seceleanu
29th Nordic Workshop on Programming Theory (NWPT'17)

A Novel Integrated Architecture for Ambient Assisted Living Systems (Jul 2017)
Ashalatha Kunnappilly, Alexandru Sorici , Imad Alex Awada , Irina Mocanu , Cristina Seceleanu, Adina Magda Florea
The 41st IEEE Computer Society International Conference on Computers, Software & Applications (COMPSAC 2017)

Analyzing Ambient Assisted Living Solutions: A Research Perspective (Apr 2017)
Ashalatha Kunnappilly, Axel Legay , Tiziana Margaria , Cristina Seceleanu, Bernhard Steffen , Louis-Marie Tranonouez
12th International Conference on Design and Technology of Integrated Systems in Nanoscale Era (DTIS 2017)

Automatic Test Generation for Energy Consumption of Embedded Systems Modeled in EAST-ADL (Mar 2017)
Raluca Marinescu, Eduard Paul Enoiu, Cristina Seceleanu, Daniel Sundmark
ICST workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS'17)

Do we need an integrated framework for Ambient Assisted Living ? (Nov 2016)
Ashalatha Kunnappilly, Cristina Seceleanu, Maria Lindén
10th International Conference on Ubiquitous Computing & Ambient Intelligence & International Work-Conference on Ambient Assisted Living (UCAmI & IWAAL )

Pruning Architectural Models of Automotive Embedded Systems via Dependency Analysis (Sep 2016)
Raluca Marinescu, Saad Mubeen, Cristina Seceleanu
42nd Euromicro Conference series on Software Engineering and Advanced Applications (SEAA 2016)

Cristina Seceleanu, Associate Professor

Email: cristina.seceleanu@mdh.se
Room: U1-170
Phone: +46-21-151764