Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/26375
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dc.contributor.authorJankova, Donaen_US
dc.contributor.authorAndova, Ivonaen_US
dc.contributor.authorBajrami, Merxhanen_US
dc.contributor.authorVrangalovski, Martinen_US
dc.contributor.authorIlijoski, Bojanen_US
dc.contributor.authorLameski, Petreen_US
dc.contributor.authorTrojachanec Dineva, Katarinaen_US
dc.date.accessioned2023-04-24T09:43:23Z-
dc.date.available2023-04-24T09:43:23Z-
dc.date.issued2022-09-29-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/26375-
dc.description.abstractA sensor device measures one or many health indicators for the user wearing it. The vital parameters are monitored and displayed to an individual or to a medical person in real or orchestrated time. This paper focuses on creating a general architecture that enables collecting, analyzing and transmitting data depending on the user needs. It can be used to track changes in vital parameters, without the need of the individual being physically present. With the focus on smartwatch data, as an example of a wearable device, this paper shows the possibilities for its application in finding accuracy of true authentic emotions that a person with autism spectrum disorder is feeling, by measuring the person’s vital parameters.en_US
dc.publisherSpringer Nature Switzerlanden_US
dc.subjectwearable devices · sensors · application · data · infrastructure · frameworken_US
dc.titleArchitecture for Collecting and Analysing Data from Sensor Devicesen_US
dc.typeProceedingsen_US
dc.relation.conference14th International Conference, ICT Innovations 2022en_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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