Abstract

Nowadays, the availability of smart devices that use IoT technologies for personal environments has increased the demand for tools to monitor and remote control the home equipment. A new generation of remote control is available: Electronic Personal Assistants. These devices that could be controlled using natural user interfaces, help user to simplify the interaction with home automation hardware and other smart devices. The personal assistants use machine learning strategies to interact with the user. The solutions available in the market are often expensive and, moreover, are limited and legacy because they use their own hardware and software. This paper aims to show Alfred a flexible and modular smart personal assistant that exploits low-cost hardware and open source machine learning software. We want to test Alfred in the contest of the H2020 City4Age project to provide Elderly-friendly city services for active and healthy ageing.

Autore Pugliese

• Mainetti Luca

Tutti gli autori

• Capodieci A. , Mainetti L. , Panarese P.

Titolo volume/Rivista

Non Disponibile

Anno di pubblicazione

2017

ISSN

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ISBN

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Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

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Numero di citazioni Scopus

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Ultimo Aggiornamento Citazioni

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Settori ERC

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Codici ASJC

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