Machine Learning and Safe and Inclusive Architecture for Fragile Users
The contribution presents the first results of a research conducted in the Department of Architecture, Roma Tre University, aimed at testing Machine Learning algorithms for train Neural Networks in learning data from BIM, with the purpose of generating Augmented Reality contents. The objective is to...
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| Format: | Article |
| Language: | English |
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LetteraVentidue Srl
2019-06-01
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| Series: | Agathón |
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| Online Access: | https://www.agathon.it/agathon/article/view/137 |
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| author | Antonio Magarò Adolfo F. L. Baratta |
| author_facet | Antonio Magarò Adolfo F. L. Baratta |
| author_sort | Antonio Magarò |
| collection | DOAJ |
| description | The contribution presents the first results of a research conducted in the Department of Architecture, Roma Tre University, aimed at testing Machine Learning algorithms for train Neural Networks in learning data from BIM, with the purpose of generating Augmented Reality contents. The objective is to improve the living space's fruition by fragile users. Machine Learning algorithms, in computer-aided design, constitute an innovation in production, as well as an innovation in product, meaning architectural spaces as such. After describing the current research lines, this paper proposes a shared glossary about the terms borrowed from other investigation fields. Finally, it describes the applications in Augmented Reality experimented in the research and the theoretical mechanisms of interaction between these and the Machine Learning algorithms. |
| format | Article |
| id | doaj-art-d97d46b1b82c47a5904da3abb08846b3 |
| institution | Kabale University |
| issn | 2464-9309 2532-683X |
| language | English |
| publishDate | 2019-06-01 |
| publisher | LetteraVentidue Srl |
| record_format | Article |
| series | Agathón |
| spelling | doaj-art-d97d46b1b82c47a5904da3abb08846b32025-02-02T19:47:16ZengLetteraVentidue SrlAgathón2464-93092532-683X2019-06-015online10.19229/2464-9309/5122019Machine Learning and Safe and Inclusive Architecture for Fragile UsersAntonio Magarò0Adolfo F. L. Baratta1Roma Tre UniversityRoma Tre UniversityThe contribution presents the first results of a research conducted in the Department of Architecture, Roma Tre University, aimed at testing Machine Learning algorithms for train Neural Networks in learning data from BIM, with the purpose of generating Augmented Reality contents. The objective is to improve the living space's fruition by fragile users. Machine Learning algorithms, in computer-aided design, constitute an innovation in production, as well as an innovation in product, meaning architectural spaces as such. After describing the current research lines, this paper proposes a shared glossary about the terms borrowed from other investigation fields. Finally, it describes the applications in Augmented Reality experimented in the research and the theoretical mechanisms of interaction between these and the Machine Learning algorithms.https://www.agathon.it/agathon/article/view/137artificial intelligencemachine learningaugmented realityfragile usersarchitecture for an ageing society |
| spellingShingle | Antonio Magarò Adolfo F. L. Baratta Machine Learning and Safe and Inclusive Architecture for Fragile Users Agathón artificial intelligence machine learning augmented reality fragile users architecture for an ageing society |
| title | Machine Learning and Safe and Inclusive Architecture for Fragile Users |
| title_full | Machine Learning and Safe and Inclusive Architecture for Fragile Users |
| title_fullStr | Machine Learning and Safe and Inclusive Architecture for Fragile Users |
| title_full_unstemmed | Machine Learning and Safe and Inclusive Architecture for Fragile Users |
| title_short | Machine Learning and Safe and Inclusive Architecture for Fragile Users |
| title_sort | machine learning and safe and inclusive architecture for fragile users |
| topic | artificial intelligence machine learning augmented reality fragile users architecture for an ageing society |
| url | https://www.agathon.it/agathon/article/view/137 |
| work_keys_str_mv | AT antoniomagaro machinelearningandsafeandinclusivearchitectureforfragileusers AT adolfoflbaratta machinelearningandsafeandinclusivearchitectureforfragileusers |