Development of a non-intrusive, data-driven algorithm for occupant detection using indoor air quality data

Research unit

INNOSUISSE

Project number

51925.1 IP-EE

Project title

Development of a non-intrusive, data-driven algorithm for occupant detection using indoor air quality data

Texts for this project

	German	French	Italian	English
Short description		-	-
Abstract		-	-	-

Category	Text
Short description (German)	Development of a non-intrusive, data-driven algorithm for occupant detection using indoor air quality data
Short description (English)	Development of a non-intrusive, data-driven algorithm for occupant detection using indoor air quality data
Abstract (German)	A robust, grey-box approach for occupant detection based on indoor air quality data is developed, using Oxygen At Work's previous development and Empa NEST's extensive measurement infrastructure and expertise in data-driven smart home solutions.