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Forschungsstelle
INNOSUISSE
Projektnummer
17999.1 PFNM-NM
Projekttitel
The Swiss Wellness Watch (SWW) project aims at implementing a 24/7 health and fitness smart watch, integrating a low-cost stand-alone sensor, processing module for the ODM market and elastic strap.
Projekttitel Englisch
The Swiss Wellness Watch (SWW) project aims at implementing a 24/7 health and fitness smart watch, integrating a low-cost stand-alone sensor, processing module for the ODM market and elastic strap.

Texte zu diesem Projekt

 DeutschFranzösischItalienischEnglisch
Kurzbeschreibung
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Abstract
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Erfasste Texte


KategorieText
Kurzbeschreibung
(Deutsch)
The Swiss Wellness Watch (SWW) project aims at implementing a 24/7 health and fitness smart watch, integrating a low-cost stand-alone sensor, processing module for the ODM market and elastic strap.
Kurzbeschreibung
(Englisch)
The Swiss Wellness Watch (SWW) project aims at implementing a 24/7 health and fitness smart watch, integrating a low-cost stand-alone sensor, processing module for the ODM market and elastic strap.
Abstract
(Deutsch)
The SWW project targets to strengthen the position of Swiss smartwatch components. The project targets a small and low-power HW module for the ODM market and an elastic and functional strap for the general smart watch market. The envisioned watch prototype targets health and wellness applications with algorithms for continuous 24/7 monitoring with optimized power management and the provision of accurate HRV, associated sleep and respiration parameters as well as speed data.
Abstract
(Englisch)
The SWW project targets to strengthen the position of Swiss smartwatch components. The project targets a small and low-power HW module for the ODM market and an elastic and functional strap for the general smart watch market. The envisioned watch prototype targets health and wellness applications with algorithms for continuous 24/7 monitoring with optimized power management and the provision of accurate HRV, associated sleep and respiration parameters as well as speed data.