Hans W. Guesgen

Hans Guesgen is a Professor of Computer Science in the School of Engineering and Advanced Technology (SEAT) at Massey University in New Zealand. His research interests include ambient intelligence, smart environments, knowledge representation, constraint satisfaction, spatio-temporal and qualitative reasoning, with more than 100 refereed papers in these areas. He holds a doctorate in computer science of the University of Kaiserslautern, and a higher doctorate (Habilitation) in computer science of the University of Hamburg, Germany. Hans is a senior member of the Association for the Advancement of Artificial Intelligence (AAAI) and an honorary research associate of the Computer Science Department of the University of Auckland, New Zealand.

Publications

New and Emerging Issues for Technologies to Support Older Adults to Age in Place: Findings From a Workshop of Experts
New and Emerging Issues for Technologies to Support Older Adults to Age in Place: Findings From a Workshop of Experts
Dick Whiddett, Inga Hunter, Phoebe Elers, Caroline A. Lockhart, Hans W. Guesgen, Amardeep Singh. © 2022. 14 pages.
There is increasing interest in using emerging technologies, such as social media, digital devices, and smart home technologies, to distribute information throughout an older...
New and Emerging Issues for Technologies to Support Older Adults to Age in Place: Findings From a Workshop of Experts
New and Emerging Issues for Technologies to Support Older Adults to Age in Place: Findings From a Workshop of Experts
Dick Whiddett, Inga Hunter, Phoebe Elers, Caroline A. Lockhart, Hans W. Guesgen, Amardeep Singh. © 2021. 13 pages.
There is increasing interest in using emerging technologies, such as social media, digital devices, and smart home technologies, to distribute information throughout an older...
Human Behaviour Recognition in Ambient Intelligent Environments
Human Behaviour Recognition in Ambient Intelligent Environments
Hans W. Guesgen, Stephen Marsland. © 2015. 15 pages.
The recognition of human behaviour from sensor observations is an important area of research in smart homes and ambient intelligence. In this chapter, the authors introduce the...
Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security
Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security
Hans W. Guesgen, Stephen Marsland. © 2013. 378 pages.
Recently, the ICT field has seen a shift from machine-centered focuses to human and user knowledge-based approaches. However, as priorities shift, questions arise on how to...
Towards Behaviour Recognition with Unlabelled Sensor Data: As Much as Necessary, as Little as Possible
Towards Behaviour Recognition with Unlabelled Sensor Data: As Much as Necessary, as Little as Possible
Sook-Ling Chua, Stephen Marsland, Hans W. Guesgen. © 2013. 25 pages.
The problem of behaviour recognition based on data from sensors is essentially an inverse problem: given a set of sensor observations, identify the sequence of behaviours that...
Spatio-Temporal Footprints
Spatio-Temporal Footprints
Hans W. Guesgen, Stephen Marsland. © 2012. 7 pages.
The recognition of human behaviour from sensor observations is an important area of research in smart homes and ambient intelligence. In this paper, we introduce the idea of...
Methodologies for Qualitative Spatial and Temporal Reasoning Application Design
Methodologies for Qualitative Spatial and Temporal Reasoning Application Design
Carl Schultz, Robert Amor, Hans W. Guesgen. © 2012. 35 pages.
Although a wide range of sophisticated Qualitative Spatial and Temporal Reasoning (QSTR) formalisms have now been developed, there are relatively few applications that apply...
Recognising Human Behaviour in a Spatio-Temporal Context
Recognising Human Behaviour in a Spatio-Temporal Context
Hans W. Guesgen, Stephen Marsland. © 2011. 17 pages.
Identifying human behaviours in smart homes from sensor observations is an important research problem. The addition of contextual information about environmental circumstances...
Spatio-Temporal Footprints
Spatio-Temporal Footprints
Hans W. Guesgen, Stephen Marsland. © 2010. 7 pages.
The recognition of human behaviour from sensor observations is an important area of research in smart homes and ambient intelligence. In this paper, we introduce the idea of...