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.
|First Name||Last Name||Title|
A Model-Checking-Based Framework For Analyzing Ambient Assisted Living Solutions (Nov 2019) Ashalatha Kunnappilly, Raluca Marinescu, Cristina Seceleanu Sensors Special Issue IoT Sensors in E-Health (Sensors)
Assuring Intelligent Ambient Assisted Living Solutions by Statistical Model Checking (Oct 2018) Ashalatha Kunnappilly, Raluca Marinescu, Cristina Seceleanu 8th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2018)
An end- user perspective on the CAMI Ambient and Assisted Living Project (Mar 2018) Imad Alex Awada , Oana Cramariuc , Irina Mocanu , Cristina Seceleanu, Ashalatha Kunnappilly, Adina Magda Florea 12th annual International Technology, Education and Development Conference (INTED 2018)
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)
|Polytechnic University of Bucharest||Academic|
|Aliviate Development ApS||Industrial|
|CNet Svenska AB||Industrial|
|European Citizens Open for evaluating novel Technology Opportunities for achieving Pervasive health and wellbeing in an Independent, Active, and Sustainable life||Municipalities and others|
|IT Centre for Science and Technology||Municipalities and others|
|Knowledge Society Association||Municipalities and others|