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ORCIDBjörn M. Eskofier
Bjoern M. Eskofier
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- affiliation: University of Erlangen-Nuremberg, Germany
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2020 – today
- 2023
[j90]João Elison da Rosa Tavares
, Martin Ullrich, Nils Roth, Felix Kluge, Bjoern M. Eskofier, Heiko Gaßner, Jochen Klucken, Till Gladow, Franz Marxreiter, Cristiano André da Costa, Rodrigo da Rosa Righi, Jorge Luis Victória Barbosa:
uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. Biomed. Signal Process. Control. 81: 104394 (2023)- [j89]Arne Küderle, Robert Richer, Raul C. Sîmpetru, Bjoern M. Eskofier:
tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation. J. Open Source Softw. 8(82): 4953 (2023) - [j88]Maximilian P. Oppelt, Andreas Foltyn, Jessica Deuschel, Nadine R. Lang, Nina Holzer, Bjoern M. Eskofier, Seung Hee Yang:
ADABase: A Multimodal Dataset for Cognitive Load Estimation. Sensors 23(1): 340 (2023) - [j87]Martin Ullrich, Nils Roth, Arne Küderle, Robert Richer, Till Gladow, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. IEEE J. Biomed. Health Informatics 27(1): 319-328 (2023) - [j86]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023) - [i28]Kai Klede, Leo Schwinn, Dario Zanca, Björn M. Eskofier:
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. CoRR abs/2305.03022 (2023) - [i27]Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn:
Raising the Bar for Certified Adversarial Robustness with Diffusion Models. CoRR abs/2305.10388 (2023) - [i26]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Bjoern M. Eskofier:
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors. CoRR abs/2305.12380 (2023) - [i25]Toni Albert, Bjoern M. Eskofier, Dario Zanca:
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations. CoRR abs/2305.12384 (2023) - 2022
- [j85]Vinicius Facco Rodrigues, Rodolfo Stoffel Antunes, Lucas Adams Seewald, Rodrigo Bazo, Eduardo Souza dos Reis, Uélison Jean Lopes dos Santos, Rodrigo da Rosa Righi, Luiz Gonzaga da Silveira Junior, Cristiano André da Costa, Felipe L. Bertollo, Andreas Maier, Bjoern M. Eskofier, Tim Horz, Marcus Pfister, Rebecca Fahrig:
A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites. Future Gener. Comput. Syst. 135: 283-298 (2022) - [j84]Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Cristiano André da Costa, Rodolfo Stoffel Antunes, Rodrigo Bazo, Eduardo Souza dos Reis, Lucas Adams Seewald, Luiz Gonzaga da Silveira Jr., Björn M. Eskofier:
HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms. IEEE Internet Things J. 9(19): 18406-18430 (2022) - [j83]Arne Küderle, Nils Roth, Robert Richer, Bjoern M. Eskofier:
imucal - A Python library to calibrate 6 DOF IMUs. J. Open Source Softw. 7(74): 4338 (2022) - [j82]Maike P. Stoeve, Markus Wirth, Rosanna Farlock, André Antunovic, Victoria Müller, Bjoern M. Eskofier:
Eye Tracking-Based Stress Classification of Athletes in Virtual Reality. Proc. ACM Comput. Graph. Interact. Tech. 5(2): 19:1-19:17 (2022) - [j81]Annette Hagengruber, Ulrike Leipscher, Bjoern M. Eskofier, Jörn Vogel:
A New Labeling Approach for Proportional Electromyographic Control. Sensors 22(4): 1368 (2022) - [j80]Johannes Link, Timur Perst, Maike P. Stoeve, Bjoern M. Eskofier:
Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning. Sensors 22(7): 2560 (2022) - [j79]Jesus D. Ceron, Diego M. López, Felix Kluge, Bjoern M. Eskofier:
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios. Sensors 22(9): 3364 (2022) - [j78]Mohamad Wehbi, Daniel Luge, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Bjoern M. Eskofier:
Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. Sensors 22(14): 5347 (2022) - [j77]Malte Ollenschläger, Arne Küderle, Wolfgang A. Mehringer, Ann-Kristin Seifer, Jürgen Winkler, Heiko Gaßner, Felix Kluge, Bjoern M. Eskofier:
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data. Sensors 22(15): 5849 (2022) - [j76]Johannes Link, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier:
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning. Sensors 22(21): 8474 (2022) - [j75]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Bjoern M. Eskofier, Andreas Maier:
Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements. IEEE Trans. Biomed. Eng. 69(5): 1608-1619 (2022) - [j74]Christoffer Löffler, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Björn M. Eskofier, Christopher Mutschler:
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 6:1-6:23 (2022) - [j73]Rodolfo Stoffel Antunes, Cristiano André da Costa, Arne Küderle, Imrana Abdullahi Yari, Björn M. Eskofier:
Federated Learning for Healthcare: Systematic Review and Architecture Proposal. ACM Trans. Intell. Syst. Technol. 13(4): 54:1-54:23 (2022) - [j72]Nils Roth, Martin Ullrich, Arne Küderle, Till Gladow, Franz Marxreiter, Heiko Gassner, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier:
Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease. IEEE J. Biomed. Health Informatics 26(9): 4733-4742 (2022) - [j71]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention. Trans. Mach. Learn. Res. 2022 (2022) - [j70]Wolfgang A. Mehringer, Markus Wirth, Daniel Roth, Georg Michelson, Bjoern M. Eskofier:
Stereopsis Only: Validation of a Monocular Depth Cues Reduced Gamified Virtual Reality with Reaction Time Measurement. IEEE Trans. Vis. Comput. Graph. 28(5): 2114-2124 (2022) - [c132]Liv Herzer, Annika Muecke, Robert Richer, Nils C. Albrecht, Markus Heyder, Katharina Jäger, Veronika Koenig, Alexander Koelpin, Nicolas Rohleder, Bjoern M. Eskofier:
Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring. BHI 2022: 1-4 - [c131]Katharina Jäger, Michael Nissen, Robert Richer, Simone Rahm, Adriana Titzmann, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG. BHI 2022: 1-4 - [c130]Hamid Moradi, Nils Roth, Ann-Kristin Seifer, Bjoern M. Eskofier:
Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy. BHI 2022: 1-4 - [c129]Victoria Müller, Robert Richer, Lea Henrich, Leonie Berger, Antonia Gelardi, Katharina Jäger, Bjoern M. Eskofier, Nicolas Rohleder:
The Stroop Competition: A Social-Evaluative Stroop Test for Acute Stress Induction. BHI 2022: 1-4 - [c128]Hui Lu, Julia Beatriz Yip, Tobias Steigleder, Stefan Grießhammer, Maria Heckel, Naga Venkata Sai Jitin Jami, Bjoern M. Eskofier, Christoph Ostgathe, Alexander Koelpin:
A Lightweight Robust Approach for Automatic Heart Murmurs and Clinical Outcomes Classification from Phonocardiogram Recordings. CinC 2022: 1-4 - [c127]Jutta Juliane Meier, Kai Hermsen, Jochen Bauer, Björn M. Eskofier:
Digital Responsibility Goals - A Framework for a Human-Centered Sustainable Digital Economy with a Focus on Trusted Digital Solutions. dHealth 2022: 250-259 - [c126]Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier:
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. EMBC 2022: 945-949 - [c125]Andre L. Cakici, Marius Osswald, Daniela Souza De Oliveira, Dominik I. Braun, Raul C. Sîmpetru, Thomas Kinfe, Bjoern M. Eskofier, Alessandro Del Vecchio:
A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements. EMBC 2022: 4115-4118 - [c124]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. ICML 2022: 19434-19449 - [c123]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. ITSC 2022: 1342-1349 - [c122]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. ITSC 2022: 1913-1920 - [i24]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. CoRR abs/2203.07676 (2022) - [i23]Christoffer Löffler, Wei-Cheng Lai, Bjoern M. Eskofier, Dario Zanca, Lukas Schmidt, Christopher Mutschler:
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR abs/2203.07861 (2022) - [i22]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. CoRR abs/2203.08409 (2022) - [i21]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. CoRR abs/2204.09093 (2022) - [i20]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. CoRR abs/2205.09619 (2022) - [i19]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR abs/2207.12710 (2022) - [i18]Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. CoRR abs/2210.06294 (2022) - [i17]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR abs/2211.10288 (2022) - [i16]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Simulating Human Gaze with Neural Visual Attention. CoRR abs/2211.12100 (2022) - 2021
- [j69]Jennifer Maier, Andreas K. Maier, Bjoern M. Eskofier, Rebecca Fahrig, Jang-Hwan Choi:
3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT. IEEE Access 9: 71821-71831 (2021) - [j68]An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang, Björn M. Eskofier:
System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data. IEEE Access 9: 117140-117152 (2021) - [j67]Denise Bandeira da Silva, Diogo Schmidt, Cristiano André da Costa, Rodrigo da Rosa Righi, Björn M. Eskofier:
DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration. Expert Syst. Appl. 165: 113905 (2021) - [j66]Mostafa Kamal Mallick, Sarah Biser, Aathira Haridas, Vaishnavi Umesh, Olaf Tönsing, Imrana Abdullahi Yari, Malte Ollenschläger, Maria Heckel, Christoph Ostgathe, Felix Kluge, Björn M. Eskofier, Tobias Steigleder:
Improving Dyspnoea Symptom Control of Patients in Palliative Care Using a Smart Patch-A Proof of Concept Study. Frontiers Digit. Health 3: 765867 (2021) - [j65]Christine F. Martindale, Vincent Christlein, Philipp Klumpp, Björn M. Eskofier:
Wearables-based multi-task gait and activity segmentation using recurrent neural networks. Neurocomputing 432: 250-261 (2021) - [j64]Robert Richer, Arne Küderle, Martin Ullrich, Nicolas Rohleder, Björn M. Eskofier:
BioPsyKit: A Python package for the analysis of biopsychological data. J. Open Source Softw. 6(66): 3702 (2021) - [j63]Eduardo Souza dos Reis, Lucas Adams Seewald, Rodolfo Stoffel Antunes, Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Cristiano André da Costa, Luiz Gonzaga da Silveira Jr., Bjoern M. Eskofier, Andreas Maier, Tim Horz, Rebecca Fahrig:
Monocular multi-person pose estimation: A survey. Pattern Recognit. 118: 108046 (2021) - [j62]Maike P. Stoeve, Dominik Schuldhaus, Axel Gamp, Constantin Zwick, Bjoern M. Eskofier:
From the Laboratory to the Field: IMU-Based Shot and Pass Detection in Football Training and Game Scenarios Using Deep Learning. Sensors 21(9): 3071 (2021) - [j61]Markus Wirth, Sebastian Kohl, Stefan Gradl, Rosanna Farlock, Daniel Roth, Bjoern M. Eskofier:
Assessing Visual Exploratory Activity of Athletes in Virtual Reality Using Head Motion Characteristics. Sensors 21(11): 3728 (2021) - [j60]Nils Roth, Arne Küderle, Dominik Prossel, Heiko Gassner, Bjoern M. Eskofier, Felix Kluge:
An Inertial Sensor-Based Gait Analysis Pipeline for the Assessment of Real-World Stair Ambulation Parameters. Sensors 21(19): 6559 (2021) - [j59]Christoph Scholl, Andreas Tobola, Klaus Ludwig, Dario Zanca, Bjoern M. Eskofier:
A Smart Capacitive Sensor Skin with Embedded Data Quality Indication for Enhanced Safety in Human-Robot Interaction. Sensors 21(21): 7210 (2021) - [j58]Verena Jakob, Arne Küderle, Felix Kluge, Jochen Klucken, Bjoern M. Eskofier, Jürgen Winkler, Martin Winterholler, Heiko Gassner:
Validation of a Sensor-Based Gait Analysis System with a Gold-Standard Motion Capture System in Patients with Parkinson's Disease. Sensors 21(22): 7680 (2021) - [j57]Johannes Link, Sébastien Guillaume, Bjoern M. Eskofier:
Experimental Validation of Real-Time Ski Jumping Tracking System Based on Wearable Sensors. Sensors 21(23): 7780 (2021) - [j56]Annette Hagengruber, Ulrike Leipscher, Björn M. Eskofier, Jörn Vogel:
Electromyography for Teleoperated Tasks in Weightlessness. IEEE Trans. Hum. Mach. Syst. 51(2): 130-140 (2021) - [c121]Robert Richer, Arne Küderle, Jana Dörr, Nicolas Rohleder, Bjoern M. Eskofier:
Assessing the Influence of the Inner Clock on the Cortisol Awakening Response and Pre-Awakening Movement. BHI 2021: 1-4 - [c120]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas Maier:
Abstract: Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. Bildverarbeitung für die Medizin 2021: 336 - [c119]Philipp Dumbach, Ruining Liu, Max Jalowski, Bjoern M. Eskofier:
The Adoption Of Artificial Intelligence In SMEs - A Cross-National Comparison In German And Chinese Healthcare. BIR Workshops 2021: 84-98 - [c118]Nils Roth, Georg P. Wieland, Arne Küderle, Martin Ullrich, Till Gladow, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Do We Walk Differently at Home? A Context-Aware Gait Analysis System in Continuous Real-World Environments. EMBC 2021: 1932-1935 - [c117]Wolfgang A. Mehringer, Markus Wirth, Franka Risch, Daniel Roth, Georg Michelson, Björn M. Eskofier:
Hess Screen Revised: How Eye Tracking and Virtual Reality change Strabismus Assessment. EMBC 2021: 2058-2062 - [c116]Martin Ullrich, Arne Küderle, Luca Reggi, Andrea Cereatti, Bjoern M. Eskofier, Felix Kluge:
Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data. EMBC 2021: 5958-5961 - [c115]Johanna Happold, Robert Richer, Arne Küderle, Heiko Gaßner, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge:
Evaluation of Orthostatic Reactions in Real-World Environments Using Wearable Sensors. EMBC 2021: 6987-6990 - [c114]Robert Schleicher, Marlies Nitschke, Jana Martschinke, Marc Stamminger, Björn M. Eskofier, Jochen Klucken, Anne D. Koelewijn:
BASH: Biomechanical Animated Skinned Human for Visualization of Kinematics and Muscle Activity. VISIGRAPP (1: GRAPP) 2021: 25-36 - [c113]Imrana Abdullahi, Tobias Dehling, Felix Kluge, Bjoern M. Eskofier, Ali Sunyaev:
Online at Will: A Novel Protocol for Mutual Authentication in Peer-to-Peer Networks for Patient-Centered Health Care Information Systems. HICSS 2021: 1-10 - [c112]Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Björn M. Eskofier:
Towards an IMU-based Pen Online Handwriting Recognizer. ICDAR (3) 2021: 289-303 - [c111]Philipp Laut, Philipp Dumbach, Bjoern M. Eskofier:
Integration of Artificial Intelligence in the Organizational Adoption - A Configurational Perspective. ICIS 2021 - [c110]Leo Schwinn, An Nguyen, René Raab, Dario Zanca, Bjoern M. Eskofier, Daniel Tenbrinck, Martin Burger:
Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks. IJCNN 2021: 1-8 - [c109]Luisa Dörflinger, Michael Nissen, Katharina Jäger, Markus Wirth, Adriana Titzmann, Constanza Pontones, Peter A. Fasching, Matthias W. Beckmann, Stefan Gradl, Björn M. Eskofier:
Digital Maternity Records: Motivation, Acceptance, Requirements, Usability and Prototype Evaluation of an Interface for Physicians and Midwives. MuC 2021: 204-209 - [c108]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Björn M. Eskofier:
Identifying untrustworthy predictions in neural networks by geometric gradient analysis. UAI 2021: 854-864 - [c107]Markus Wirth, Stefan Gradl, Georg Prosinger, Felix Kluge, Daniel Roth, Björn M. Eskofier:
The Impact of Avatar Appearance, Perspective and Context on Gait Variability and User Experience in Virtual Reality. VR 2021: 326-335 - [i15]An Nguyen, Stefan Foerstel, Thomas Kittler, Andrey Kurzyukov, Leo Schwinn, Dario Zanca, Tobias Hipp, Da Jun Sun, Michael Schrapp, Eva Rothgang, Bjoern M. Eskofier:
System Design for a Data-driven and Explainable Customer Sentiment Monitor. CoRR abs/2101.04086 (2021) - [i14]Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern M. Eskofier:
Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis. CoRR abs/2102.12196 (2021) - [i13]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas Maier:
Rigid and non-rigid motion compensation in weight-bearing cone-beam CT of the knee using (noisy) inertial measurements. CoRR abs/2102.12418 (2021) - [i12]Leo Schwinn, René Raab, An Nguyen, Dario Zanca, Bjoern M. Eskofier:
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks. CoRR abs/2105.10304 (2021) - [i11]Mohamad Wehbi, Tim Hamann, Jens Barth, Peter Kaempf, Dario Zanca, Bjoern M. Eskofier:
Towards an IMU-based Pen Online Handwriting Recognizer. CoRR abs/2105.12434 (2021) - [i10]Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. CoRR abs/2107.03704 (2021) - 2020
- [j55]Carolina Rico-Olarte, Diego M. López, Linda Becker, Bjoern M. Eskofier:
Towards Classifying Cognitive Performance by Sensing Electrodermal Activity in Children With Specific Learning Disorders. IEEE Access 8: 196187-196196 (2020) - [j54]Marija D. Ivanovic, Julius Hannink, Matthias Ring, Fabio Baronio, Vladan Vukcevic, Ljupco Hadzievski, Bjoern M. Eskofier:
Predicting defibrillation success in out-of-hospital cardiac arrested patients: Moving beyond feature design. Artif. Intell. Medicine 110: 101963 (2020) - [j53]Naira Kaieski, Cristiano André da Costa, Rodrigo da Rosa Righi, Priscila Schmidt Lora, Björn M. Eskofier:
Application of artificial intelligence methods in vital signs analysis of hospitalized patients: A systematic literature review. Appl. Soft Comput. 96: 106612 (2020) - [j52]Felix Ott, Mohamad Wehbi, Tim Hamann, Jens Barth, Björn M. Eskofier, Christopher Mutschler:
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 92:1-92:20 (2020) - [j51]Rodrigo Bazo, Eduardo Souza dos Reis, Lucas Adams Seewald, Vinicius Facco Rodrigues, Cristiano André da Costa, Luiz Gonzaga Jr., Rodolfo Stoffel Antunes, Rodrigo da Rosa Righi, Andreas Maier, Björn M. Eskofier, Rebecca Fahrig, Tim Horz:
Baptizo: A sensor fusion based model for tracking the identity of human poses. Inf. Fusion 62: 1-13 (2020) - [j50]Robert Richer, Nan Zhao, Bjoern M. Eskofier, Joseph A. Paradiso:
Exploring Smart Agents for the Interaction with Multimodal Mediated Environments. Multimodal Technol. Interact. 4(2): 27 (2020) - [j49]Jesus D. Ceron, Christine F. Martindale, Diego M. López, Felix Kluge, Björn M. Eskofier:
Indoor Trajectory Reconstruction of Walking, Jogging, and Running Activities Based on a Foot-Mounted Inertial Pedestrian Dead-Reckoning System. Sensors 20(3): 651 (2020) - [j48]Jesus D. Ceron, Felix Kluge, Arne Küderle, Björn M. Eskofier, Diego M. López:
Simultaneous Indoor Pedestrian Localization and House Mapping Based on Inertial Measurement Unit and Bluetooth Low-Energy Beacon Data. Sensors 20(17): 4742 (2020) - [j47]Markus Zrenner, Arne Küderle, Nils Roth, Ulf Jensen, Burkhard Dümler, Björn M. Eskofier:
Does the Position of Foot-Mounted IMU Sensors Influence the Accuracy of Spatio-Temporal Parameters in Endurance Running? Sensors 20(19): 5705 (2020) - [j46]Christine F. Martindale, Nils Roth, Heiko Gaßner, Julia List, Martin Regensburger, Björn M. Eskofier, Zacharias Kohl:
Technical Validation of an Automated Mobile Gait Analysis System for Hereditary Spastic Paraplegia Patients. IEEE J. Biomed. Health Informatics 24(5): 1490-1499 (2020) - [j45]Martin Ullrich, Arne Küderle, Julius Hannink, Silvia Del Din, Heiko Gaßner, Franz Marxreiter, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Detection of Gait From Continuous Inertial Sensor Data Using Harmonic Frequencies. IEEE J. Biomed. Health Informatics 24(7): 1869-1878 (2020) - [c106]Philipp Dumbach, Alexander Aly, Markus Zrenner, Björn M. Eskofier:
Exploration of Process Mining Opportunities In Educational Software Engineering - The GitLab Analyser. EDM 2020 - [c105]Stefan Fischer, Martin Ullrich, Arne Küderle, Heiko Gaßner, Jochen Klucken, Björn M. Eskofier, Felix Kluge:
Automatic clinical gait test detection from inertial sensor data. EMBC 2020: 789-792 - [c104]Mohamad Wehbi, Tim Hamann, Jens Barth, Bjoern M. Eskofier:
Digitizing Handwriting with a Sensor Pen: A Writer-Independent Recognizer. ICFHR 2020: 295-300 - [c103]An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier:
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. ICPM Workshops 2020: 112-123 - [c102]Wolfgang A. Mehringer, Markus Wirth, Stefan Gradl, Luis S. Durner, Matthias Ring, Annemarie F. Laudanski, Bjoern M. Eskofier, Georg Michelson:
An Image-Based Method for Measuring Strabismus in Virtual Reality. ISMAR Adjunct 2020: 5-12 - [c101]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier:
Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee. MICCAI (3) 2020: 14-23 - [c100]Markus Wirth, Stefan Gradl, Wolfgang A. Mehringer, Richard Kulpa, Hannes Rupprecht, Dino Poimann, Annemarie F. Laudanski, Björn M. Eskofier:
Assessing Personality Traits of Team Athletes in Virtual Reality. VR Workshops 2020: 101-108 - [i9]Leo Schwinn, Björn M. Eskofier:
Fast and Stable Adversarial Training through Noise Injection. CoRR abs/2002.10097 (2020) - [i8]Sven Weinzierl, Sandra Zilker, Jens Brunk, Kate Revoredo, An Nguyen, Martin Matzner, Jörg Becker, Björn M. Eskofier:
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs. CoRR abs/2005.01194 (2020) - [i7]Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier:
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee. CoRR abs/2007.04655 (2020) - [i6]An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin Matzner, Bjoern M. Eskofier:
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring. CoRR abs/2010.00889 (2020) - [i5]An Nguyen, Wenyu Zhang, Leo Schwinn, Bjoern M. Eskofier:
Conformance Checking for a Medical Training Process Using Petri net Simulation and Sequence Alignment. CoRR abs/2010.11719 (2020) - [i4]Leo Schwinn, Daniel Tenbrinck, An Nguyen, René Raab, Martin Burger, Bjoern M. Eskofier:
Sampled Nonlocal Gradients for Stronger Adversarial Attacks. CoRR abs/2011.02707 (2020)