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ORCIDDaniel Sonntag
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- affiliation: German Research Centre for Artificial Intelligence, DFKI, Kaiserslautern, Germany
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2020 – today
- 2022
[j23]Alexander Prange, Daniel Sonntag:
Modeling Users' Cognitive Performance Using Digital Pen Features. Frontiers Artif. Intell. 5: 787179 (2022)- [j22]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham
, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task agnostic transfer learning for skin attributes detection. Medical Image Anal. 78: 102359 (2022) - [c115]Pablo Valdunciel, Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
Interactive Assessment Tool for Gaze-based Machine Learning Models in Information Retrieval. CHIIR 2022: 332-336 - [i23]Mareike Hartmann, Aliki Anagnostopoulou, Daniel Sonntag:
Interactive Machine Learning for Image Captioning. CoRR abs/2202.13623 (2022) - [i22]Mareike Hartmann, Daniel Sonntag:
A survey on improving NLP models with human explanations. CoRR abs/2204.08892 (2022) - 2021
- [j21]Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag:
Implicit Estimation of Paragraph Relevance From Eye Movements. Frontiers Comput. Sci. 3: 808507 (2021) - [j20]Sebastian Kapp, Michael Barz, Sergey Mukhametov, Daniel Sonntag, Jochen Kuhn:
ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays. Sensors 21(6): 2234 (2021) - [j19]Michael Barz, Daniel Sonntag:
Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human Gaze. Sensors 21(12): 4143 (2021) - [j18]Luisa Lauer, Kristin Altmeyer, Sarah Malone, Michael Barz, Roland Brünken, Daniel Sonntag, Markus Peschel:
Investigating the Usability of a Head-Mounted Display Augmented Reality Device in Elementary School Children. Sensors 21(19): 6623 (2021) - [c114]Fabrizio Nunnari, Hasan Md Tusfiqur Alam, Daniel Sonntag:
Anomaly Detection for Skin Lesion Images Using Replicator Neural Networks. CD-MAKE 2021: 225-240 - [c113]Fabrizio Nunnari, Md Abdul Kadir, Daniel Sonntag:
On the Overlap Between Grad-CAM Saliency Maps and Explainable Visual Features in Skin Cancer Images. CD-MAKE 2021: 241-253 - [c112]Alexander Prange, Michael Barz, Anika Heimann-Steinert, Daniel Sonntag:
Explainable Automatic Evaluation of the Trail Making Test for Dementia Screening. CHI 2021: 382:1-382:9 - [c111]Fabrizio Nunnari, Daniel Sonntag:
A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities. EICS 2021: 44-49 - [c110]Michael Barz, Sebastian Kapp, Jochen Kuhn, Daniel Sonntag:
Automatic Recognition and Augmentation of Attended Objects in Real-time using Eye Tracking and a Head-mounted Display. ETRA Adjunct 2021: 3:1-3:4 - [c109]Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
EyeLogin - Calibration-free Authentication Method for Public Displays Using Eye Gaze. ETRA Short Papers 2021: 14:1-14:7 - [c108]Michael Barz, Omair Shahzad Bhatti, Bengt Lüers, Alexander Prange, Daniel Sonntag:
Multisensor-Pipeline: A Lightweight, Flexible, and Extensible Framework for Building Multimodal-Multisensor Interfaces. ICMI Companion 2021: 13-18 - [c107]Fabrizio Nunnari, Abraham Obinwanne Ezema, Daniel Sonntag:
Crop It, but Not Too Much: The Effects of Masking on the Classification of Melanoma Images. KI 2021: 179-193 - [c106]Alexander Prange, Daniel Sonntag:
A Demonstrator for Interactive Image Clustering and Fine-Tuning Neural Networks in Virtual Reality. KI 2021: 194-203 - [c105]Duy M. H. Nguyen, Truong T. N. Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-supervised Domain Adaptation for Diabetic Retinopathy Grading Using Vessel Image Reconstruction. KI 2021: 349-361 - [c104]Rajarshi Biswas, Michael Barz, Mareike Hartmann, Daniel Sonntag:
Improving German Image Captions Using Machine Translation and Transfer Learning. SLSP 2021: 3-14 - [c103]Alexander Prange, Daniel Sonntag:
Assessing Cognitive Test Performance Using Automatic Digital Pen Features Analysis. UMAP 2021: 33-43 - [i21]Ellák Somfai, Benjámin Baffy, Kristian Fenech, Changlu Guo, Rita Hosszú, Dorina Korózs, Fabrizio Nunnari, Marcell Pólik, Daniel Sonntag, Attila Ulbert, András Lorincz:
Minimizing false negative rate in melanoma detection and providing insight into the causes of classification. CoRR abs/2102.09199 (2021) - [i20]Duy M. H. Nguyen, Thu T. Nguyen, Huong Vu, Quang Pham, Manh-Duy Nguyen, Binh T. Nguyen, Daniel Sonntag:
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection. CoRR abs/2104.01641 (2021) - [i19]Hans-Jürgen Profitlich, Daniel Sonntag:
A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report. CoRR abs/2105.09702 (2021) - [i18]Duy M. H. Nguyen, Truong T. N. Mai, Ngoc T. T. Than, Alexander Prange, Daniel Sonntag:
Self-Supervised Domain Adaptation for Diabetic Retinopathy Grading using Vessel Image Reconstruction. CoRR abs/2107.09372 (2021) - [i17]Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda:
LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. CoRR abs/2111.11892 (2021) - 2020
- [j17]Daniel Sonntag:
AI in Medicine, Covid-19 and Springer Nature's Open Access Agreement. Künstliche Intell. 34(2): 123-125 (2020) - [j16]Rajarshi Biswas, Michael Barz, Daniel Sonntag:
Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking. Künstliche Intell. 34(4): 571-584 (2020) - [c102]Fabrizio Nunnari, Chirag Bhuvaneshwara, Abraham Obinwanne Ezema, Daniel Sonntag:
A Study on the Fusion of Pixels and Patient Metadata in CNN-Based Classification of Skin Lesion Images. CD-MAKE 2020: 191-208 - [c101]Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag:
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task. CLEF (Working Notes) 2020 - [c100]Michael Barz, Sven Stauden, Daniel Sonntag:
Visual Search Target Inference in Natural Interaction Settings with Machine Learning. ETRA 2020: 1:1-1:8 - [c99]Duy Minh Ho Nguyen, Abraham Obinwanne Ezema, Fabrizio Nunnari, Daniel Sonntag:
A Visually Explainable Learning System for Skin Lesion Detection Using Multiscale Input with Attention U-Net. KI 2020: 313-319 - [c98]Fabrizio Nunnari, Abraham Obinwanne Ezema, Daniel Sonntag:
The Effects of Masking in Melanoma Image Classification with CNNs Towards International Standards for Image Preprocessing. MobiHealth 2020: 257-273 - [c97]Michael Barz, Kristin Altmeyer, Sarah Malone, Luisa Lauer, Daniel Sonntag:
Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests. UMAP 2020: 23-32 - [i16]Daniel Sonntag, Fabrizio Nunnari, Hans-Jürgen Profitlich:
The Skincare project, an interactive deep learning system for differential diagnosis of malignant skin lesions. Technical Report. CoRR abs/2005.09448 (2020) - [i15]Marimuthu Kalimuthu, Fabrizio Nunnari, Daniel Sonntag:
A Competitive Deep Neural Network Approach for the ImageCLEFmed Caption 2020 Task. CoRR abs/2007.14226 (2020) - [i14]Duy M. H. Nguyen, Huong Vu, Binh T. Nguyen, Fabrizio Nunnari, Daniel Sonntag:
Attention with Multiple Sources Knowledges for COVID-19 from CT Images. CoRR abs/2009.11008 (2020)
2010 – 2019
- 2019
- [j15]Daniel Sonntag, Hans-Jürgen Profitlich:
An architecture of open-source tools to combine textual information extraction, faceted search and information visualisation. Artif. Intell. Medicine 93: 13-28 (2019) - [c96]Alexander Prange, Mira Niemann, Antje Latendorf, Anika Steinert, Daniel Sonntag:
Multimodal Speech-based Dialogue for the Mini-Mental State Examination. CHI Extended Abstracts 2019 - [c95]Michael Barz, Daniel Sonntag:
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates Using Machine Learning. IWSDS 2019: 367-379 - [c94]Rajarshi Biswas, Aditya Mogadala, Michael Barz, Daniel Sonntag, Dietrich Klakow:
Automatic Judgement of Neural Network-Generated Image Captions. SLSP 2019: 261-272 - [c93]Alexander Prange, Daniel Sonntag:
Modeling Cognitive Status through Automatic Scoring of a Digital Version of the Clock Drawing Test. UMAP 2019: 70-77 - [c92]Marimuthu Kalimuthu, Michael Barz, Daniel Sonntag:
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings. WANLP@ACL 2019 2019: 1-10 - [p5]Daniel Sonntag:
Medical and health systems. The Handbook of Multimodal-Multisensor Interfaces, Volume 3 (3) 2019 - [e3]Sharon L. Oviatt, Björn W. Schuller, Philip R. Cohen, Daniel Sonntag, Gerasimos Potamianos, Antonio Krüger:
The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging Directions - Volume 3. Association for Computing Machinery 2019, ISBN 978-1-970001-75-4 [contents] - [i13]Fabrizio Nunnari, Daniel Sonntag:
A CNN toolbox for skin cancer classification. CoRR abs/1908.08187 (2019) - [i12]Michael Barz, Daniel Sonntag:
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning. CoRR abs/1908.10149 (2019) - [i11]Hans-Jürgen Profitlich, Daniel Sonntag:
Interactivity and Transparency in Medical Risk Assessment with Supersparse Linear Integer Models. CoRR abs/1911.12119 (2019) - 2018
- [j14]Daniel Sonntag:
AI in Germany: Well-Prepared and Eager to Do Something. Künstliche Intell. 32(2-3): 97-99 (2018) - [c91]Mira Niemann, Alexander Prange, Daniel Sonntag:
Towards a Multimodal Multisensory Cognitive Assessment Framework. CBMS 2018: 24-29 - [c90]Michael Barz, Florian Daiber, Daniel Sonntag, Andreas Bulling:
Error-aware gaze-based interfaces for robust mobile gaze interaction. ETRA 2018: 24:1-24:10 - [c89]Michael Barz, Neslihan Büyükdemircioglu, Rikhu Prasad Surya, Tim Polzehl, Daniel Sonntag:
Device-Type Influence in Crowd-based Natural Language Translation Tasks (short paper). SAD/CrowdBias@HCOMP 2018: 93-97 - [c88]Alexander Prange, Michael Barz, Daniel Sonntag:
Medical 3D Images in Multimodal Virtual Reality. IUI Companion 2018: 19:1-19:2 - [c87]Sven Stauden, Michael Barz, Daniel Sonntag:
Visual Search Target Inference Using Bag of Deep Visual Words. KI 2018: 297-304 - [e2]Sharon L. Oviatt, Björn W. Schuller, Philip R. Cohen, Daniel Sonntag, Gerasimos Potamianos, Antonio Krüger:
The Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations - Volume 2. Association for Computing Machinery 2018, ISBN 978-1-970001-71-6 [contents] - [i10]Jan Zacharias, Michael Barz, Daniel Sonntag:
A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces. CoRR abs/1803.04818 (2018) - [i9]Alexander Prange, Michael Barz, Daniel Sonntag:
A categorisation and implementation of digital pen features for behaviour characterisation. CoRR abs/1810.03970 (2018) - [i8]Daniel Sonntag:
Interactive Cognitive Assessment Tools: A Case Study on Digital Pens for the Clinical Assessment of Dementia. CoRR abs/1810.04943 (2018) - [i7]Daniel Sonntag, Hans-Jürgen Profitlich:
An architecture of open-source tools to combine textual information extraction, faceted search and information visualisation. CoRR abs/1810.12627 (2018) - 2017
- [j13]Danilo Schmidt, Klemens Budde, Daniel Sonntag, Hans-Jürgen Profitlich, Matthias Ihle, Oliver Staeck:
A novel tool for the identification of correlations in medical data by faceted search. Comput. Biol. Medicine 85: 98-105 (2017) - [c86]Daniel Sonntag, Hans-Jürgen Profitlich:
Integrated Decision Support by Combining Textual Information Extraction, Facetted Search and Information Visualisation. CBMS 2017: 95-100 - [c85]Claudia Bretschneider, Sonja Zillner, Matthias Hammon, Paul Gass, Daniel Sonntag:
Automatic Extraction of Breast Cancer Information from Clinical Reports. CBMS 2017: 213-218 - [c84]Alexander Prange, Danilo Schmidt, Daniel Sonntag:
A Digital Pen Based Tool for Instant Digitisation and Digitalisation of Biopsy Protocols. CBMS 2017: 773-774 - [c83]Michael Barz, Peter Poller, Martin Schneider, Sonja Zillner, Daniel Sonntag:
Human-in-the-Loop Control Processes in Gas Turbine Maintenance. HoloMAS 2017: 255-268 - [c82]Michael Barz, Peter Poller, Daniel Sonntag:
Evaluating Remote and Head-worn Eye Trackers in Multi-modal Speech-based HRI (Demo). HRI (Companion) 2017: 39 - [c81]Michael Barz, Peter Poller, Daniel Sonntag:
Evaluating Remote and Head-worn Eye Trackers in Multi-modal Speech-based HRI. HRI (Companion) 2017: 79-80 - [c80]Alexander Prange, Michael Barz, Daniel Sonntag:
Speech-based Medical Decision Support in VR using a Deep Neural Network (Demonstration). IJCAI 2017: 5241-5242 - [c79]Alexander Prange, Margarita Chikobava, Peter Poller, Michael Barz, Daniel Sonntag:
A Multimodal Dialogue System for Medical Decision Support inside Virtual Reality. SIGDIAL Conference 2017: 23-26 - [e1]Sharon L. Oviatt, Björn W. Schuller, Philip R. Cohen, Daniel Sonntag, Gerasimos Potamianos, Antonio Krüger:
The Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations - Volume 1. ACM 2017, ISBN 978-1-970001-67-9 [contents] - [i6]Daniel Sonntag, Martin Huber, Manuel Möller, Alassane Ndiaye, Sonja Zillner, Alexander Cavallaro:
Design and Implementation of a Semantic Dialogue System for Radiologists. CoRR abs/1701.07381 (2017) - [i5]Daniel Sonntag:
Intelligent User Interfaces - A Tutorial. CoRR abs/1702.05250 (2017) - [i4]Daniel Sonntag, Michael Barz, Jan Zacharias, Sven Stauden, Vahid Rahmani, Áron Fóthi, András Lörincz:
Fine-tuning deep CNN models on specific MS COCO categories. CoRR abs/1709.01476 (2017) - [i3]Daniel Sonntag:
Interakt - A Multimodal Multisensory Interactive Cognitive Assessment Tool. CoRR abs/1709.01796 (2017) - 2016
- [j12]Daniel Sonntag, Volker Tresp, Sonja Zillner, Alexander Cavallaro, Matthias Hammon, André Reis, Peter A. Fasching, Martin Sedlmayr, Thomas Ganslandt, Hans-Ulrich Prokosch, Klemens Budde, Danilo Schmidt, Carl Hinrichs, Thomas Wittenberg, Philipp Daumke, Patricia G. Oppelt:
The Clinical Data Intelligence Project - A smart data initiative. Inform. Spektrum 39(4): 290-300 (2016) - [j11]Jason Orlosky, Takumi Toyama, Daniel Sonntag, Kiyoshi Kiyokawa:
The Role of Focus in Advanced Visual Interfaces. Künstliche Intell. 30(3-4): 301-310 (2016) - [c78]Daniel Sonntag:
Persuasive AI Technologies for Healthcare Systems. AAAI Fall Symposia 2016 - [c77]Alexander Prange, Daniel Sonntag:
Digital PI-RADS: Smartphone Sketches for Instant Knowledge Acquisition in Prostate Cancer Detection. CBMS 2016: 13-18 - [c76]Mohammad Mehdi Moniri, Andreas Luxenburger, Winfried Schuffert, Daniel Sonntag:
Real-Time 3D Peripheral View Analysis. ICAT-EGVE 2016: 37-44 - [c75]Danilo Schmidt, Hans-Jürgen Profitlich, Daniel Sonntag:
Towards Integrated Information Extraction and Facetted Search Applications in Nephrology. EMSA-RMed@ESWC 2016 - [c74]De-Jiu Chen, Dmitri Valeri Panfilenko, Mahmood Reza Khabbazi, Daniel Sonntag:
A model-based approach to qualified process automation for anomaly detection and treatment. ETFA 2016: 1-8 - [c73]Dmitri Valeri Panfilenko, Peter Poller, Daniel Sonntag, Sonja Zillner, Martin Schneider:
BPMN for knowledge acquisition and anomaly handling in CPS for smart factories. ETFA 2016: 1-4 - [c72]Michael Barz, Mohammad Mehdi Moniri, Markus Weber, Daniel Sonntag:
Multimodal multisensor activity annotation tool. UbiComp Adjunct 2016: 17-20 - [c71]Michael Barz, Daniel Sonntag:
Gaze-guided object classification using deep neural networks for attention-based computing. UbiComp Adjunct 2016: 253-256 - [c70]Andreas Luxenburger, Alexander Prange, Mohammad Mehdi Moniri, Daniel Sonntag:
MedicaLVR: towards medical remote collaboration using virtual reality. UbiComp Adjunct 2016: 321-324 - [c69]Mohammad Mehdi Moniri, Daniel Sonntag, Andreas Luxenburger:
Peripheral view calculation in virtual reality applications. UbiComp Adjunct 2016: 333-336 - [c68]Mohammad Mehdi Moniri, Fabio Andres Espinosa Valcarcel, Dieter Merkel, Daniel Sonntag:
Human Gaze and Focus-of-Attention in Dual Reality Human-Robot Collaboration. Intelligent Environments 2016: 238-241 - [c67]Richárd Bellon, Younggeon Choi, Nikoletta Ekker, Vincent Lepetit, L. Mike Olasz, Daniel Sonntag, Zoltán Tosér, Kyounghwan Yoo, András Lörincz:
Model Based Augmentation and Testing of an Annotated Hand Pose Dataset. KI 2016: 17-29 - 2015
- [j10]Adam B. Cohen, Sonia Chernova, James Giordano, Frank Guerin, Kris K. Hauser, Bipin Indurkhya, Matteo Leonetti, Larry R. Medsker, Martin Michalowski, Daniel Sonntag, Georgi Stojanov, Dan Tecuci, Andrea Thomaz, Tony Veale, Ulli Waltinger:
Reports on the 2014 AAAI Fall Symposium Series. AI Mag. 36(3): 107-112 (2015) - [j9]Jean Gelissen, Daniel Sonntag:
Special Issue on Health and Wellbeing. Künstliche Intell. 29(2): 111-113 (2015) - [j8]Daniel Sonntag, Jean Gelissen:
A Paradigm Shift in Healthcare Provision - Interview with Dr. Jörg Habetha, Senior Director at Philips Research, Department Head 'Personal Health'. Künstliche Intell. 29(2): 203-205 (2015) - [j7]Jason Orlosky, Takumi Toyama, Kiyoshi Kiyokawa, Daniel Sonntag:
ModulAR: Eye-Controlled Vision Augmentations for Head Mounted Displays. IEEE Trans. Vis. Comput. Graph. 21(11): 1259-1268 (2015) - [c66]Daniel Sonntag:
Kognit: Intelligent Cognitive Enhancement Technology by Cognitive Models and Mixed Reality for Dementia Patients. AAAI Fall Symposia 2015: 47-53 - [c65]Alexander Prange, Takumi Toyama, Daniel Sonntag:
Towards Gaze and Gesture Based Human-Robot Interaction for Dementia Patients. AAAI Fall Symposia 2015: 111-113 - [c64]Markku Turunen, Daniel Sonntag, Klaus-Peter Engelbrecht, Thomas Olsson, Dirk Schnelle-Walka, Andrés Lucero:
Interaction and Humans in Internet of Things. INTERACT (4) 2015: 633-636 - [c63]Daniel Sonntag:
Tutorial 3: Intelligent User Interfaces. ISMAR 2015: xxxii - [c62]Jason Orlosky, Markus Weber, Yecheng Gu, Daniel Sonntag, Sergey A. Sosnovsky:
An Interactive Pedestrian Environment Simulator for Cognitive Monitoring and Evaluation. IUI Companion 2015: 57-60 - [c61]Alexander Prange, Indra Praveen Sandrala, Markus Weber, Daniel Sonntag:
Robot Companions and Smartpens for Improved Social Communication of Dementia Patients. IUI Companion 2015: 65-68 - [c60]Takumi Toyama, Daniel Sonntag, Jason Orlosky, Kiyoshi Kiyokawa:
Attention Engagement and Cognitive State Analysis for Augmented Reality Text Display Functions. IUI 2015: 322-332 - [c59]Jason Orlosky, Kiyoshi Kiyokawa, Takumi Toyama, Daniel Sonntag:
Halo Content: Context-aware Viewspace Management for Non-invasive Augmented Reality. IUI 2015: 369-373 - [c58]Takumi Toyama, Daniel Sonntag:
Towards Episodic Memory Support for Dementia Patients by Recognizing Objects, Faces and Text in Eye Gaze. KI 2015: 316-323 - [c57]Alexander Prange, Daniel Sonntag:
Easy Deployment of Spoken Dialogue Technology on Smartwatches for Mental Healthcare. MindCare 2015: 150-156 - [c56]András Sárkány, Zoltán Tosér, Anita L. Vero, András Lörincz, Takumi Toyama, Ehsan Nadjaran Toosi, Daniel Sonntag:
Maintain and Improve Mental Health by Smart Virtual Reality Serious Games. MindCare 2015: 220-229 - [c55]Daniel Sonntag, Jason Orlosky, Markus Weber, Yecheng Gu, Sergey A. Sosnovsky, Takumi Toyama, Ehsan Nadjaran Toosi:
Cognitive Monitoring via Eye Tracking in Virtual Reality Pedestrian Environments. PerDis 2015: 269-270 - 2014
- [j6]Daniel Sonntag, Markus Weber, Alexander Cavallaro, Matthias Hammon:
Integrating Digital Pens in Breast Imaging for Instant Knowledge Acquisition. AI Mag. 35(1): 26-37 (2014) - [j5]Daniel Sonntag:
Space Robotics Means Business. Künstliche Intell. 28(2): 63-65 (2014) - [c54]Gyula Vörös, Peter Rabi, Balázs Pintér, Andras Sarkany, Daniel Sonntag, András Lörincz:
Recommending Missing Symbols of Augmentative and Alternative Communication by Means of Explicit Semantic Analysis. AAAI Fall Symposia 2014 - [c53]Takumi Toyama, Daniel Sonntag, Jason Orlosky, Kiyoshi Kiyokawa:
A natural interface for multi-focal plane head mounted displays using 3D gaze. AVI 2014: 25-32 - [c52]Zsolt Palotai, Miklos Lang, Andras Sarkany, Zoltan Toser, Daniel Sonntag, Takumi Toyama, András Lörincz:
LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos. CBMI 2014: 1-4 - [c51]Daniel Sonntag, Sonja Zillner, Samarjit Chakraborty, András Lörincz, Esko Strömmer, Luciano Serafini:
The Medical Cyber-physical Systems Activity at EIT: A Look under the Hood. CBMS 2014: 351-356 - [c50]Tigran Mkrtchyan, Daniel Sonntag:
Deep Parsing at the CLEF2014 IE Task. CLEF (Working Notes) 2014: 138-146 - [c49]Jason Orlosky, Takumi Toyama, Daniel Sonntag, Kiyoshi Kiyokawa:
Using Eye-Gaze and Visualization to Augment Memory - A Framework for Improving Context Recognition and Recall. HCI (21) 2014: 282-291 - [c48]Daniel Sonntag:
ERmed - Towards Medical Multimodal Cyber-Physical Environments. HCI (25) 2014: 359-370 - [c47]Takumi Toyama, Daniel Sonntag, Andreas Dengel, Takahiro Matsuda, Masakazu Iwamura, Koichi Kise:
A mixed reality head-mounted text translation system using eye gaze input. IUI 2014: 329-334 - [c46]Gyula Vörös, Anita Verö, Balázs Pintér, Brigitta Miksztai-Réthey, Takumi Toyama, András Lörincz, Daniel Sonntag:
Towards a Smart Wearable Tool to Enable People with SSPI to Communicate by Sentence Fragments. MindCare 2014: 90-99 - [c45]Jason Orlosky, Takumi Toyama, Daniel Sonntag, Andras Sarkany, András Lörincz:
On-body multi-input indoor localization for dynamic emergency scenarios: fusion of magnetic tracking and optical character recognition with mixed-reality display. PerCom Workshops 2014: 320-325 - [p4]Daniel Sonntag, Daniel Porta:
Intelligent Semantic Mediation, Knowledge Acquisition and User Interaction. Towards the Internet of Services 2014: 179-189 - [p3]Daniel Sonntag, Sonja Zillner, Patrick Ernst, Christian Schulz, Michael Sintek, Peter Dankerl:
Mobile Radiology Interaction and Decision Support Systems of the Future. Towards the Internet of Services 2014: 371-382 - 2013
- [c44]