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2020 – today
- 2022
[c11]André Frank Krause, Kai Essig:
Protecting Privacy Using Low-Cost Data Diodes and Strong Cryptography. SAI (3) 2022: 776-788- 2021
- [j4]Alexander Neumann
, Benjamin Strenge, Lars Schalkwijk, Kai Essig, Thomas Schack:
Facilitating Workers' Task Proficiency with Subtle Decay of Contextual AR-Based Assistance Derived from Unconscious Memory Structures. Inf. 12(1): 17 (2021) - 2020
- [j3]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:
EMIP: The eye movements in programming dataset. Sci. Comput. Program. 198: 102520 (2020) - [c10]Alexander Neumann, Benjamin Strenge, Janne C. Uhlich, Katharina D. Schlicher, Günter W. Maier, Lars Schalkwijk, Joachim Waßmuth, Kai Essig, Thomas Schack:
AVIKOM: towards a mobile audiovisual cognitive assistance system for modern manufacturing and logistics. PETRA 2020: 1:1-1:8
2010 – 2019
- 2019
- [c9]André Frank Krause, Kai Essig:
Boosting speed- and accuracy of gradient based dark pupil tracking using vectorization and differential evolution. ETRA 2019: 34:1-34:5 - [c8]Frauke Heinecke, Sandra Schering, Kai Essig:
Traceability im Usability-Engineering: Integration von Usability Engineering und Software Engineering mittels eines Traceability-Tools. MuC 2019: 839-842 - [c7]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:
Towards an SSVEP-BCI Controlled Smart Home. SMC 2019: 2737-2742 - 2017
- [c6]Jonas Blattgerste, Benjamin Strenge, Patrick Renner, Thies Pfeiffer, Kai Essig:
Comparing Conventional and Augmented Reality Instructions for Manual Assembly Tasks. PETRA 2017: 75-82 - 2016
- [c5]Kai Essig, Benjamin Strenge, Thomas Schack:
ADAMAAS: Towards Smart Glasses for Mobile and Personalized Action Assistance. PETRA 2016: 46 - 2013
- [c4]André Frank Krause, Kai Essig, Martina Piefke, Thomas Schack:
No-Prop-fast - A High-Speed Multilayer Neural Network Learning Algorithm: MNIST Benchmark and Eye-Tracking Data Classification. EANN (1) 2013: 446-455 - 2012
- [c3]Kai Essig, Daniel Dornbusch, Daniel Prinzhorn, Helge J. Ritter, Jonathan Maycock, Thomas Schack:
Automatic analysis of 3D gaze coordinates on scene objects using data from eye-tracking and motion-capture systems. ETRA 2012: 37-44 - 2011
- [c2]André Frank Krause, Kai Essig, Li-Ying Essig-Shih, Thomas Schack:
Classifying the Differences in Gaze Patterns of Alphabetic and Logographic L1 Readers - A Neural Network Approach. EANN/AIAI (1) 2011: 78-83
2000 – 2009
- 2007
- [b1]Kai Essig:
Vision based image retrieval (VBIR): a new eye tracking based approach to efficient and intuitive image retrieval. Bielefeld University, Germany, 2007, pp. 1-231 - 2006
- [j2]Kai Essig, Marc Pomplun, Helge J. Ritter:
A neural network for 3D gaze recording with binocular eye trackers. Int. J. Parallel Emergent Distributed Syst. 21(2): 79-95 (2006) - 2000
- [j1]Chiou-Shann Fuh, Shun-Wen Cho, Kai Essig:
Hierarchical color image region segmentation for content-based image retrieval system. IEEE Trans. Image Process. 9(1): 156-162 (2000) - [c1]Chiou-Yann Tsai, Arbee L. P. Chen, Kai Essig:
Efficient image retrieval approaches for different similarity requirements. Storage and Retrieval for Media Databases 2000: 471-482
Coauthor Index
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