Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12188/22013| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gjoreski, Martin | en_US |
| dc.contributor.author | Gjoreski, Hristijan | en_US |
| dc.contributor.author | Luštrek, Mitja | en_US |
| dc.contributor.author | Gams, Matjaž | en_US |
| dc.date.accessioned | 2022-08-09T09:14:36Z | - |
| dc.date.available | 2022-08-09T09:14:36Z | - |
| dc.date.issued | 2016-06-01 | - |
| dc.identifier.uri | http://hdl.handle.net/20.500.12188/22013 | - |
| dc.publisher | MDPI AG | en_US |
| dc.relation.ispartof | Sensors | en_US |
| dc.title | How Accurately Can Your Wrist Device Recognize Daily Activities and Detect Falls? | en_US |
| dc.identifier.doi | 10.3390/s16060800 | - |
| dc.identifier.url | http://www.mdpi.com/1424-8220/16/6/800/pdf | - |
| dc.identifier.volume | 16 | - |
| dc.identifier.issue | 6 | - |
| item.grantfulltext | none | - |
| item.fulltext | No Fulltext | - |
| Appears in Collections: | Faculty of Electrical Engineering and Information Technologies: Journal Articles | |
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