Accelerometer-based fall detection using machine learning: training and testing on real-world falls
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Erschienen in
-
In: Sensors ; 20 (2020), 22. - eISSN 1424-8220
- Schlagwort
-
Beschleunigungssensor
Maschinelles Lernen
Wearable Computing
Handy
- Ereignis
-
Veröffentlichung
- (wo)
-
Ulm
- (wer)
-
Universität Ulm
- (wann)
-
2020
- Urheber
-
Palmerini, Luca
Klenk, Jochen
Becker, Clemens
Chiari, Lorenzo
- DOI
-
10.18725/OPARU-43028
- URN
-
urn:nbn:de:bsz:289-oparu-43104-5
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:42 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Palmerini, Luca
- Klenk, Jochen
- Becker, Clemens
- Chiari, Lorenzo
- Universität Ulm
Entstanden
- 2020
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