The aging population brings many challenges surrounding the quality of life for older people and their carers, as well as impacts on the healthcare market. Several initiatives all over the world have focused on the problem of helping the aging population with Artificial Intelligence (AI) technology, aiming at promoting a healthier society, which constitutes a main social and economic challenge. In this paper, we focus on an Ambient Assisted Living scenario in which a Smart Home Environment is carried out to assist elders at home, performing trustworthy automated complex decisions by means of IoT sensors, smart healthcare devices, and edge nodes. The core idea is to exploit the proximity between computing and information-generation sources. Taking automated complex decisions with the help AI-based techniques directly on the Edge enables a faster, more private, and context-aware Edge Computing empowering, called Edge Intelligence.
Artificial Intelligence on Edge Computing: a Healthcare Scenario in Ambient Assisted Living / Pazienza, A; Mallardi, G; Fasciano, C; Vitulano, F. - 2559:(2020), pp. 22-37. (Intervento presentato al convegno 5th Italian Workshop on Artificial Intelligence for Ambient Assisted Living, AI*AAL.it 2019 tenutosi a Rende nel 22/11/2019).
Artificial Intelligence on Edge Computing: a Healthcare Scenario in Ambient Assisted Living
Mallardi G;Fasciano C;
2020
Abstract
The aging population brings many challenges surrounding the quality of life for older people and their carers, as well as impacts on the healthcare market. Several initiatives all over the world have focused on the problem of helping the aging population with Artificial Intelligence (AI) technology, aiming at promoting a healthier society, which constitutes a main social and economic challenge. In this paper, we focus on an Ambient Assisted Living scenario in which a Smart Home Environment is carried out to assist elders at home, performing trustworthy automated complex decisions by means of IoT sensors, smart healthcare devices, and edge nodes. The core idea is to exploit the proximity between computing and information-generation sources. Taking automated complex decisions with the help AI-based techniques directly on the Edge enables a faster, more private, and context-aware Edge Computing empowering, called Edge Intelligence.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
