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Automatiserade mjukvaruspråkutveckling och mjukvaruteknik

Certifierbara bevis och justifieringsteknik

Cyber-fysisk systemanalys

Datakommunikation

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Diskret matematik och modellering av beteende och kultur

Formell modellering och analys av inbyggda system

Heterogena system

Industriell programvaruteknik

Informationsdesign

Komplexa inbyggda system i realtid

Lärande och optimering

Medicinsk teknik

Modellbaserad konstruktion av inbäddade system

Programmeringsspråk

Programvarutestlaboratorium

Säkerhetskritisk teknik

Teknisk matematik

Tillförlitlig programvaruteknik

Ubiquitous Computing

Energieffektivisering och minskning av utsläpp

Förnybar energi

Algebra och Analys med tillämpningar

Ekokritiskt forum och ekokritisk litteraturvetenskap

Artificiell intelligens och intelligenta system

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

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.

Projektansvarig vid MDH

Universitetslektor

Cristina Seceleanu

021-15 17 64

cristina.seceleanu@mdh.se

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Description of the project

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.

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