2022 - Research.com Computer Science in Denmark Leader Award
Human–computer interaction, Artificial intelligence, Computer vision, Eye movement and Ubiquitous computing are his primary areas of study. His biological study spans a wide range of topics, including Multimedia, Software, Simulation and Surface computing. His study in the field of Activity recognition and Navigation system also crosses realms of Search and rescue and Event.
His Computer vision research incorporates themes from Node and Real-time operating system. Hans Gellersen has researched Eye movement in several fields, including Wearable computer, Eye tracking and Gaze. His Ubiquitous computing research is multidisciplinary, incorporating perspectives in Mobile computing and Data science.
The scientist’s investigation covers issues in Human–computer interaction, Artificial intelligence, Computer vision, Gaze and Eye tracking. The concepts of his Human–computer interaction study are interwoven with issues in User interface, Multimedia, Interface and Mobile device. His studies deal with areas such as Modality, Wearable computer and Smooth pursuit as well as Computer vision.
His Gaze research integrates issues from Interaction technique, Virtual reality, Head, Usability and Focus. The Eye tracking study which covers Eye movement that intersects with Speech recognition. His research in Ubiquitous computing intersects with topics in World Wide Web and Mobile computing.
Hans Gellersen focuses on Gaze, Eye tracking, Artificial intelligence, Computer vision and Human–computer interaction. His Gaze course of study focuses on Interaction technique and Smartwatch and Wearable computer. His research integrates issues of Field, Multimedia, User interface, Eye movement and Virtual reality in his study of Eye tracking.
Artificial intelligence is closely attributed to Ubiquitous computing in his research. His Computer vision research includes themes of Modality, Interface and Smooth pursuit. His Human–computer interaction study frequently links to related topics such as Mobile device.
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.
Multi-sensor context-awareness in mobile devices and smart artifacts
Hans W. Gellersen;Albercht Schmidt;Michael Beigl.
Mobile Networks and Applications (2002)
Eye Movement Analysis for Activity Recognition Using Electrooculography
Andreas Bulling;Jamie A Ward;Hans Gellersen;Gerhard Tröster.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2011)
Beyond prototypes: challenges in deploying ubiquitous systems
N. Davies;H.-W. Gellersen.
IEEE Pervasive Computing (2002)
Shake well before use: authentication based on accelerometer data
Rene Mayrhofer;Hans Gellersen.
international conference on pervasive computing (2007)
Object-oriented Web application development
H.-W. Gellersen;M. Gaedke.
IEEE Internet Computing (1999)
Shake Well Before Use: Intuitive and Secure Pairing of Mobile Devices
R. Mayrhofer;H. Gellersen.
IEEE Transactions on Mobile Computing (2009)
Location and Navigation Support for Emergency Responders: A Survey
C. Fischer;H. Gellersen.
IEEE Pervasive Computing (2010)
Pursuits: spontaneous interaction with displays based on smooth pursuit eye movement and moving targets
Mélodie Vidal;Andreas Bulling;Hans Gellersen.
ubiquitous computing (2013)
Expected, sensed, and desired: A framework for designing sensing-based interaction
Steve Benford;Holger Schnädelbach;Boriana Koleva;Rob Anastasi.
ACM Transactions on Computer-Human Interaction (2005)
Toward Mobile Eye-Based Human-Computer Interaction
Andreas Bulling;Hans Gellersen.
IEEE Pervasive Computing (2010)
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