dc.contributor.author | Sales, David | |
dc.contributor.author | Prata, Paula | |
dc.contributor.author | Fazendeiro, Paulo | |
dc.date.accessioned | 2021-12-22T10:56:34Z | |
dc.date.available | 2021-12-22T10:56:34Z | |
dc.date.issued | 2021 | |
dc.description.abstract | When it comes to ride a motorcycle the drivers-centered road safety is quintessential; every year a remarkable number of accidents directly related to sleepiness and fatigue occur. With the objective of maximizing the security on a motorcycle, the reported system aims to prevent sleepiness related accidents and to attenuate the effects of a crash. The system was developed as the less intrusive as it could be, with sensors that allow the capture of reaction times to stimuli-response and collect acceleration values. To obviate the lack of data related to sleepiness during motorcycle riding, a machine learning system was developed, based on Artificial Immune Systems. This way, resourcing to a minimum amount of user input, a custom system is synthesized for each user, allowing to assess the sleepiness level of each subject differently. | pt_PT |
dc.description.sponsorship | This work was supported by operation Centro-01-0145-FEDER-000019 - C4 - Centro de Competências em Cloud Computing, co-financed by the European Regional Development Fund (ERDF) through the Programa Operacional Regional do Centro (Centro 2020), in the scope of the Sistema de Apoio à Investigação Científica e Tecnológica - Programas Integrados de IC&DT. This work was also funded by FCT/MCTES through the project UIDB/50008/2020. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.citation | Sales D., Prata P., Fazendeiro P. (2021) Smart Helmet: An Experimental Helmet Security Add-On. In: Arai K. (eds) Intelligent Computing. Lecture Notes in Networks and Systems, vol 284. Springer, Cham. https://doi.org/10.1007/978-3-030-80126-7_86 | pt_PT |
dc.identifier.doi | 10.1007/978-3-030-80126-7_86 | pt_PT |
dc.identifier.uri | http://hdl.handle.net/10400.6/11468 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Springer, Cham | pt_PT |
dc.relation | Instituto de Telecomunicações | |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-030-80126-7_86 | pt_PT |
dc.subject | Smart Helmet | pt_PT |
dc.subject | Road safety | pt_PT |
dc.subject | Motorcycle | pt_PT |
dc.subject | Sleepiness | pt_PT |
dc.subject | Machine learning | pt_PT |
dc.subject | Reaction time | pt_PT |
dc.subject | Artificial immune systems | pt_PT |
dc.title | Smart Helmet: An Experimental Helmet Security Add-On | pt_PT |
dc.type | book part | |
dspace.entity.type | Publication | |
oaire.awardTitle | Instituto de Telecomunicações | |
oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT | |
oaire.citation.conferencePlace | Springer, Cham | pt_PT |
oaire.citation.endPage | 1250 | pt_PT |
oaire.citation.startPage | 1236 | pt_PT |
oaire.citation.volume | 284 | pt_PT |
oaire.fundingStream | 6817 - DCRRNI ID | |
person.familyName | Prata | |
person.familyName | Fazendeiro | |
person.givenName | Paula | |
person.givenName | Paulo | |
person.identifier.ciencia-id | 651F-C1C8-44AD | |
person.identifier.ciencia-id | 911F-3584-721F | |
person.identifier.orcid | 0000-0002-3072-0186 | |
person.identifier.orcid | 0000-0001-6054-7188 | |
person.identifier.rid | B-7713-2008 | |
person.identifier.scopus-author-id | 6506143567 | |
person.identifier.scopus-author-id | 19640174600 | |
project.funder.identifier | http://doi.org/10.13039/501100001871 | |
project.funder.name | Fundação para a Ciência e a Tecnologia | |
rcaap.rights | closedAccess | pt_PT |
rcaap.type | bookPart | pt_PT |
relation.isAuthorOfPublication | 138a0dac-5e5d-466c-901d-4ed34f860403 | |
relation.isAuthorOfPublication | 47442970-f246-4908-b873-0b58e684a9e9 | |
relation.isAuthorOfPublication.latestForDiscovery | 138a0dac-5e5d-466c-901d-4ed34f860403 | |
relation.isProjectOfPublication | 5a9bd4c8-57a9-46c4-95dc-a5e5c220c117 | |
relation.isProjectOfPublication.latestForDiscovery | 5a9bd4c8-57a9-46c4-95dc-a5e5c220c117 |
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