Kai Essig

15 papers B 3C 1Misc 1Journal 4Unranked 5
YearRankTypeTitle / Venue / Authors
2022 — conf
Protecting Privacy Using Low-Cost Data Diodes and Strong Cryptography.
SAI (3)
André Frank Krause, Kai Essig
2021 J jnl
Facilitating Workers' Task Proficiency with Subtle Decay of Contextual AR-Based Assistance Derived from Unconscious Memory Structures.
Inf.
Alexander Neumann, Benjamin Strenge, Lars Schalkwijk, Kai Essig, Thomas Schack
2020 J jnl
EMIP: The eye movements in programming dataset.
Sci. Comput. Program.
Roman Bednarik, Teresa Busjahn, Agostino Gibaldi, Alireza Ahadi, Mária Bieliková, Martha E. Crosby, Kai Essig, Fabian Fagerholm, Ahmad Jbara, Raymond Lister, Pavel A. Orlov, James H. Paterson, Bonita Sharif, Teemu Sirkiä, Jan Stelovsky, Jozef Tvarozek, Hana Vrzakova, Ian van der Linde
2019 B conf
Boosting speed- and accuracy of gradient based dark pupil tracking using vectorization and differential evolution.
ETRA
André Frank Krause, Kai Essig
2019 B conf
Towards an SSVEP-BCI Controlled Smart Home.
SMC
Michael Adams, Sadok Ben-Salem, Zahidul Islam, Arne Vogelsang, Thorsten Jungeblut, Ulrich Rückert, Ivan Volosyak, Mihaly Benda, Abdul Saboor, André Frank Krause, Aya Rezeika, Felix Gembler, Piotr Stawicki, Marc Hesse, Kai Essig
2019 Misc conf
Traceability im Usability-Engineering: Integration von Usability Engineering und Software Engineering mittels eines Traceability-Tools.
MuC
Frauke Heinecke, Sandra Schering, Kai Essig
2017 — conf
Comparing Conventional and Augmented Reality Instructions for Manual Assembly Tasks.
PETRA
Jonas Blattgerste, Benjamin Strenge, Patrick Renner, Thies Pfeiffer, Kai Essig
2016 — conf
ADAMAAS: Towards Smart Glasses for Mobile and Personalized Action Assistance.
PETRA
Kai Essig, Benjamin Strenge, Thomas Schack
2013 — conf
No-Prop-fast - A High-Speed Multilayer Neural Network Learning Algorithm: MNIST Benchmark and Eye-Tracking Data Classification.
EANN (1)
André Frank Krause, Kai Essig, Martina Piefke, Thomas Schack
2012 B conf
Automatic analysis of 3D gaze coordinates on scene objects using data from eye-tracking and motion-capture systems.
ETRA
Kai Essig, Daniel Dornbusch, Daniel Prinzhorn, Helge J. Ritter, Jonathan Maycock, Thomas Schack
2011 C conf
Classifying the Differences in Gaze Patterns of Alphabetic and Logographic L1 Readers - A Neural Network Approach.
EANN
André Frank Krause, Kai Essig, Li-Ying Essig-Shih, Thomas Schack
2007 — —
Vision based image retrieval (VBIR): a new eye tracking based approach to efficient and intuitive image retrieval.
Kai Essig
2006 J jnl
A neural network for 3D gaze recording with binocular eye trackers.
Int. J. Parallel Emergent Distributed Syst.
Kai Essig, Marc Pomplun, Helge J. Ritter
2000 — conf
Efficient image retrieval approaches for different similarity requirements.
Storage and Retrieval for Media Databases
Chiou-Yann Tsai, Arbee L. P. Chen, Kai Essig
2000 J jnl
Hierarchical color image region segmentation for content-based image retrieval system.
IEEE Trans. Image Process.
Chiou-Shann Fuh, Shun-Wen Cho, Kai Essig