University of Applied Sciences and Arts Northwestern Switzerland
Artificial intelligence, Computer vision, Airport security, Cognitive neuroscience of visual object recognition and Simulation are his primary areas of study. Adrian Schwaninger is interested in Visual search, which is a field of Artificial intelligence. The study incorporates disciplines such as Constant false alarm rate and Face in addition to Computer vision.
In his research on the topic of Airport security, Perceptual learning, X ray image and Transfer of training is strongly related with Task. In his study, Context, Reliability, Usability and Data mining is strongly linked to Test, which falls under the umbrella field of Cognitive neuroscience of visual object recognition. His Simulation study integrates concerns from other disciplines, such as Image and Item difficulty.
His scientific interests lie mostly in Artificial intelligence, Airport security, Computer vision, Task and Facial recognition system. His Artificial intelligence research includes elements of Machine learning and Pattern recognition. His studies deal with areas such as Test, X ray image, Interpretation and Detection performance as well as Airport security.
His work on Object detection as part of his general Computer vision study is frequently connected to Hit rate, thereby bridging the divide between different branches of science. His Task research is multidisciplinary, incorporating perspectives in Automation, Visual search, Simulation and Visual inspection. His research integrates issues of Communication, Cognitive psychology, Psychophysics and Component in his study of Facial recognition system.
Adrian Schwaninger spends much of his time researching Airport security, Task, Automation, Detection performance and Visual search. His Airport security study necessitates a more in-depth grasp of Computer security. His Task study combines topics from a wide range of disciplines, such as Cognitive psychology and Real-time computing.
He combines subjects such as X ray image and Visual inspection with his study of Visual search. His Visual inspection research entails a greater understanding of Artificial intelligence. His Artificial intelligence research is multidisciplinary, incorporating elements of Pattern recognition and Receiver operating characteristic.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
An own-race advantage for components as well as configurations in face recognition
William G. Hayward;Gillian Rhodes;Adrian Schwaninger.
Computational Modeling of Face Recognition Based on Psychophysical Experiments
Adrian Schwaninger;Christian Wallraven;Heinrich H. Bülthoff.
Swiss Journal of Psychology (2004)
Role of Featural and Configural Information in Familiar and Unfamiliar Face Recognition
Adrian Schwaninger;Janek S. Lobmaier;Stephan M. Collishaw.
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision (2002)
Aviation Security Screeners Visual Abilities & Visual Knowledge Measurement
Adrian Schwaninger;Diana Hardmeier;Franziska Hofer.
IEEE Aerospace and Electronic Systems Magazine (2005)
Expert face processing: specialisation and constraints
Adrian Schwaninger;Claus-Christian Carbon;Helmut Leder.
Towards improving trust in context-aware systems by displaying system confidence
Stavros Antifakos;Nicky Kern;Bernt Schiele;Adrian Schwaninger.
human computer interaction with mobile devices and services (2005)
A model for human interruptability: experimental evaluation and automatic estimation from wearable sensors
N. Kern;S. Antifakos;B. Schiele;A. Schwaninger.
international symposium on wearable computers (2004)
Computer-Based Training Increases Efficiency in X-Ray Image Interpretation by Aviation Security Screeners
S. Michel;S.M. Koller;J.C. de Ruiter;R. Moerland.
international carnahan conference on security technology (2007)
How Image Based Factors and Human Factors Contribute to Threat Detection Performance in X-Ray Aviation Security Screening
Anton Bolfing;Tobias Halbherr;Adrian Schwaninger.
USAB '08 Proceedings of the 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society on HCI and Usability for Education and Work (2008)
Using threat image projection data for assessing individual screener performance
Franziska Hofer;Adrian Schwaninger.
WIT Transactions on the Built Environment (2005)
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