| Title: | Human gait activity recognition machine learning methods |
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| Authors: | ID Slemenšek, Jan (Author)
ID Fister, Iztok (Author)
ID Geršak, Jelka (Author)
ID Bratina, Božidar (Author)
ID Van Midden, Vesna M. (Author)
ID Pirtošek, Zvezdan (Author)
ID Šafarič, Riko (Author) |
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| Files: |  sensors-23-00745-v2.pdf (5,11 MB)
MD5: EFA673144A4E7A719A7417B198AA848D
 https://www.mdpi.com/1424-8220/23/2/745
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
FS - Faculty of Mechanical Engineering
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| Keywords: | human gait, activity recognition, wearable, machine learning, convolutional neural network, recurrent neural network, attention mechanism |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 09.12.2022 |
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| Article acceptance date: | 03.01.2023 |
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| Publication date: | 09.01.2023 |
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| Publisher: | MDPI |
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| Year of publishing: | 2023 |
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| Number of pages: | Str. 1-24 |
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| Numbering: | Vol. 23, iss. 2, [article no.] 745 |
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| PID: | 20.500.12556/DKUM-88156  |
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| UDC: | 004.946.5 |
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| ISSN on article: | 1424-8220 |
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| COBISS.SI-ID: | 138729475 |
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| DOI: | 10.3390/s23020745 |
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| Publication date in DKUM: | 10.04.2024 |
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| Views: | 502 |
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| Downloads: | 40 |
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| Metadata: |    |
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| Categories: | Misc.
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