Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/26375
Title: | Architecture for Collecting and Analysing Data from Sensor Devices | Authors: | Jankova, Dona Andova, Ivona Bajrami, Merxhan Vrangalovski, Martin Ilijoski, Bojan Lameski, Petre Trojachanec Dineva, Katarina |
Keywords: | wearable devices · sensors · application · data · infrastructure · framework | Issue Date: | 29-Sep-2022 | Publisher: | Springer Nature Switzerland | Conference: | 14th International Conference, ICT Innovations 2022 | Abstract: | A 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. | URI: | http://hdl.handle.net/20.500.12188/26375 |
Appears in Collections: | Faculty of Computer Science and Engineering: Conference papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
3. ICT_Innovations_2022_paper_1415.pdf | 1.27 MB | Adobe PDF | View/Open |
Page view(s)
53
checked on Jul 11, 2024
Download(s)
26
checked on Jul 11, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.