Kai Essig

According to our database, Kai Essig authored at least 16 papers between 2000 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Protecting Privacy Using Low-Cost Data Diodes and Strong Cryptography.

André Frank Krause, Kai Essig

Proceedings of the Intelligent Computing, 2022

2021

Facilitating Workers' Task Proficiency with Subtle Decay of Contextual AR-Based Assistance Derived from Unconscious Memory Structures.

Alexander Neumann, Benjamin Strenge, Lars Schalkwijk, Kai Essig, Thomas Schack

Inf., 2021

2020

EMIP: The eye movements in programming dataset.

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

Sci. Comput. Program., 2020

<i>AVIKOM</i>: towards a mobile audiovisual cognitive assistance system for modern manufacturing and logistics.

Alexander Neumann, Benjamin Strenge, Janne C. Uhlich, Katharina D. Schlicher, Günter W. Maier, Lars Schalkwijk, Joachim Waßmuth, Kai Essig, Thomas Schack

Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020

2019

Towards an SSVEP-BCI Controlled Smart Home.

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

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Traceability im Usability-Engineering: Integration von Usability Engineering und Software Engineering mittels eines Traceability-Tools.

Frauke Heinecke, Sandra Schering, Kai Essig

Proceedings of Mensch und Computer 2019, Hamburg, Germany, September 8-11, 2019, 2019

Boosting speed- and accuracy of gradient based dark pupil tracking using vectorization and differential evolution.

André Frank Krause, Kai Essig

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019

2017

Comparing Conventional and Augmented Reality Instructions for Manual Assembly Tasks.

Jonas Blattgerste, Benjamin Strenge, Patrick Renner, Thies Pfeiffer, Kai Essig

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

2016

ADAMAAS: Towards Smart Glasses for Mobile and Personalized Action Assistance.

Kai Essig, Benjamin Strenge, Thomas Schack

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016

2013

No-Prop-fast - A High-Speed Multilayer Neural Network Learning Algorithm: MNIST Benchmark and Eye-Tracking Data Classification.

André Frank Krause, Kai Essig, Martina Piefke, Thomas Schack

Proceedings of the Engineering Applications of Neural Networks, 2013

2012

Automatic analysis of 3D gaze coordinates on scene objects using data from eye-tracking and motion-capture systems.

Kai Essig, Daniel Dornbusch, Daniel Prinzhorn, Helge J. Ritter, Jonathan Maycock, Thomas Schack

Proceedings of the 2012 Symposium on Eye-Tracking Research and Applications, 2012

2011

Classifying the Differences in Gaze Patterns of Alphabetic and Logographic L1 Readers - A Neural Network Approach.

André Frank Krause, Kai Essig, Li-Ying Essig-Shih, Thomas Schack

Proceedings of the Engineering Applications of Neural Networks, 2011

2007

Vision based image retrieval (VBIR): a new eye tracking based approach to efficient and intuitive image retrieval.

Kai Essig

PhD thesis, 2007

2006

A neural network for 3D gaze recording with binocular eye trackers.

Kai Essig, Marc Pomplun, Helge J. Ritter

Int. J. Parallel Emergent Distributed Syst., 2006

2000

Hierarchical color image region segmentation for content-based image retrieval system.

Chiou-Shann Fuh, Shun-Wen Cho, Kai Essig

IEEE Trans. Image Process., 2000

Efficient image retrieval approaches for different similarity requirements.

Chiou-Yann Tsai, Arbee L. P. Chen, Kai Essig

Proceedings of the Storage and Retrieval for Media Databases 2000, 2000