A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems

Kartsch, Victor J.; Benatti, Simone; Schiavone, Pasquale D.; Rossi, Davide; Benini, Luca

doi:10.1016/j.inffus.2017.11.005

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Autor(in)

Kartsch, Victor J.

Benatti, Simone

Schiavone, Pasquale D.

Rossi, Davide

Benini, Luca

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Datum

2018-09

Typ

Journal Article

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5 Zitate in Web of Science

6 Zitate in Scopus

ETH Bibliographie

yes

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Publikationsstatus

published

Externe Links

https://doi.org/10.1016/j.inffus.2017.11.005

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Zeitschrift / Serie

Information Fusion

Band

43

Seiten / Artikelnummer

66 - 76

Verlag

Elsevier BV

Thema

Drowsiness detection; Fatigue monitoring; EEG; Sensor fusion; Wearable

Organisationseinheit

03996 - Benini, Luca / Benini, Luca

Förderung

162524 - MicroLearn: Micropower Deep Learning (SNF)

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Zitate

5 Zitate in Web of Science

6 Zitate in Scopus

ETH Bibliographie

yes

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A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems Mendeley CSV RIS BibTeX

A sensor fusion approach for drowsiness detection in wearable ultra-low-power systems

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