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

• Unité de recherche: INNOSUISSE
• Numéro de projet: 51925.1 IP-EE
• Titre du projet anglais: Development of a non-intrusive, data-driven algorithm for occupant detection using indoor air quality data

Description succincte (Allemand)

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

Description succincte (Anglais)

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

Résumé des résultats (Abstract) (Allemand)

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.