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Automatic reminiscence therapy for dementia
dc.contributor.author | Carós, Mariona |
dc.contributor.author | Garolera Freixa, Maite |
dc.contributor.author | Radeva, Petia |
dc.contributor.author | Giró Nieto, Xavier |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.date.accessioned | 2020-07-01T16:51:35Z |
dc.date.issued | 2020 |
dc.identifier.citation | Carós, M. [et al.]. Automatic reminiscence therapy for dementia. A: ACM International Conference on Multimedia Retrieval. "ICMR '20: Proceedings of the 2020 International Conference on Multimedia Retrieval". New York: Association for Computing Machinery (ACM), 2020, p. 383-387. |
dc.identifier.isbn | 978-1-4503-7087-5 |
dc.identifier.other | https://imatge.upc.edu/web/publications/automatic-reminiscence-therapy-dementia |
dc.identifier.uri | http://hdl.handle.net/2117/192195 |
dc.description.abstract | With people living longer than ever, the number of cases with dementia such as Alzheimer's disease increases steadily. It affects more than 46 million people worldwide, and it is estimated that in 2050 more than 100 million will be affected. While there are no effective treatments for these terminal diseases, therapies such as reminiscence, that stimulate memories from the past are recommended. Currently, reminiscence therapy takes place in care homes and is guided by a therapist or a carer. In this work, we present an AI-based solution to automate the reminiscence therapy. This consists of a dialogue system that uses photos of the users as input to generate questions about their life. Overall, this paper presents how reminiscence therapy can be automated by using deep learning, and deployed to smartphones and laptops, making the therapy more accessible to every person affected by dementia. |
dc.format.extent | 5 p. |
dc.language.iso | eng |
dc.publisher | Association for Computing Machinery (ACM) |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial |
dc.subject.lcsh | Artificial intelligence -- Medical applications |
dc.subject.other | Reminiscence therapy |
dc.subject.other | Alzheimer |
dc.subject.other | Dementia |
dc.subject.other | Generative dialogue system |
dc.subject.other | Chatbot |
dc.subject.other | Visual question generator |
dc.title | Automatic reminiscence therapy for dementia |
dc.type | Conference lecture |
dc.subject.lemac | Intel·ligència artificial -- Aplicacions a la medicina |
dc.contributor.group | Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo |
dc.identifier.doi | 10.1145/3372278.3391927 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://dl.acm.org/doi/10.1145/3372278.3391927 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 28601962 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/MINECO/1PE/TEC2016-75976-R |
dc.date.lift | 10000-01-01 |
local.citation.author | Carós, M.; Garolera, M.; Radeva, P.; Giro, X. |
local.citation.contributor | ACM International Conference on Multimedia Retrieval |
local.citation.pubplace | New York |
local.citation.publicationName | ICMR '20: Proceedings of the 2020 International Conference on Multimedia Retrieval |
local.citation.startingPage | 383 |
local.citation.endingPage | 387 |