The purpose of SENSHOME was to use passive sensor networks to monitor and regulate room conditions (e.g., temperature, humidity, acoustics...) to improve comfort and wellbeing while at the same time having the possibility to identify hazardous events for people with special needs. The overarching goal was to enable a self-determined, independent life for individuals on the autism spectrum and ensure a high level of privacy. SENSHOME bridged the gap between independent living and nursing homes to support involved user groups, especially primary end users, who were not able to live by themselves but did not require constant care either. More specifically, we aimed to infer the persons‘ status by means of centralized architectures that collected data from a set of sensors deployed in their living environment.

The purpose of SENSHOME was to use passive sensor networks to monitor and regulate room conditions (e.g., temperature, humidity, acoustics...) to improve comfort and wellbeing while at the same time having the possibility to identify hazardous events for people with special needs. The overarching goal was to enable a self-determined, independent life for individuals on the autism spectrum and ensure a high level of privacy. SENSHOME bridged the gap between independent living and nursing homes to support involved user groups, especially primary end users, who were not able to live by themselves but did not require constant care either. More specifically, we aimed to infer the persons‘ status by means of centralized architectures that collected data from a set of sensors deployed in their living environment.

Die Kinder- und Jugenduniversität der FH Kärnten schuf für Kinder und Jugendliche zwischen 6 und 19 Jahren vielfältige Gelegenheiten, Hochschule in Forschung und Lehre kennenzulernen. Sie bot Themen aus den Bereichen Gesundheit & Soziales sowie Engineering & IT in partizipativen Workshops an den Campus Feldkirchen, Villach und Klagenfurt, „on tour" direkt an Schulen sowie in einem Online-Format an. Im Rahmen der interaktiv gestalteten Workshops konnten sich die teilnehmenden Schüler*innen Themen aus den Bereichen Sucht, Autismus, Diversität, Mobbingprävention, Geschlechter- und Familienvielfalt, Menschenrechte und Diskriminierung sowie Geoinformatik und Technik u. v. m. erarbeiten. Folgende Studiengänge waren beteiligt: Disability & Diversity Studies, Ergotherapie, Gesundheits- und Krankenpflege, Gesundheits- und Pflegemanagement, Hebammen, Soziale Arbeit, Geoinformatik und Umwelt. Geleitet wurden die Workshops von Lehrenden der FH Kärnten oder von Studierenden aus dem Studienbereich „Gesundheit & Soziales" in Form eines Peer-Education-Formates.

The purpose of SENSHOME was to use passive sensor networks to monitor and regulate room conditions (e.g., temperature, humidity, acoustics...) to improve comfort and wellbeing while at the same time having the possibility to identify hazardous events for people with special needs. The overarching goal was to enable a self-determined, independent life for individuals on the autism spectrum and ensure a high level of privacy. SENSHOME bridged the gap between independent living and nursing homes to support involved user groups, especially primary end users, who were not able to live by themselves but did not require constant care either. More specifically, we aimed to infer the persons‘ status by means of centralized architectures that collected data from a set of sensors deployed in their living environment.

The purpose of SENSHOME was to use passive sensor networks to monitor and regulate room conditions (e.g., temperature, humidity, acoustics...) to improve comfort and wellbeing while at the same time having the possibility to identify hazardous events for people with special needs. The overarching goal was to enable a self-determined, independent life for individuals on the autism spectrum and ensure a high level of privacy. SENSHOME bridged the gap between independent living and nursing homes to support involved user groups, especially primary end users, who were not able to live by themselves but did not require constant care either. More specifically, we aimed to infer the persons‘ status by means of centralized architectures that collected data from a set of sensors deployed in their living environment.