Michael Beigl

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 156

Top Venues

Karlsruhe Institute of Technology, Germany (PHD)

Education History

Karlsruhe Institute of Technology, Germany

PHD

Publications

Michael Beigl
Keynote: Open Wearable Computer Systems and Applications. PerCom Workshops (2024)
Priyanjana Pal, Haibin Zhao, Maha Shatta, Michael Hefenbrock, Sina Bakhtavari Mamaghani, Sani R. Nassif, Michael Beigl, Mehdi B. Tahoori
Analog Printed Spiking Neuromorphic Circuit. DATE (2024)
Yexu Zhou, Haibin Zhao, Yiran Huang, Tobias Röddiger, Murat Kurnaz, Till Riedel, Michael Beigl
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8 (2) (2024)
Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Fabian Tërnava, Jianfeng Gao, Alexander Waibel, Tamim Asfour, Michael Beigl, Rainer Stiefelhagen, Carsten Dachsbacher, Klemens Böhm, Jan Niehues
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading. CoRR (2024)
Yiran Huang, Haibin Zhao, Yexu Zhou, Till Riedel, Michael Beigl
Standardizing Your Training Process for Human Activity Recognition Models: A Comprehensive Review in the Tunable Factors. CoRR (2024)
Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl
Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm. PerCom Workshops (2024)
Yexu Zhou, Tobias King, Yiran Huang, Haibin Zhao, Till Riedel, Tobias Röddiger, Michael Beigl
Enhancing Efficiency in HAR Models: NAS Meets Pruning. PerCom Workshops (2024)
Priyanjana Pal, Florentia Afentaki, Haibin Zhao, Gurol Saglam, Michael Hefenbrock, Georgios Zervakis, Michael Beigl, Mehdi B. Tahoori
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers. ETS (2024)
Ivo Benke, Michael T. Knierim, Marc T. P. Adam, Michael Beigl, Verena Dorner, Ulrich Ebner-Priemer, Manfred Herrmann, Martin Klarmann, Alexander Maedche, Julia Nafziger, Petra Nieken, Jella Pfeiffer, Clemens Puppe, Felix Putze, Benjamin Scheibehenne, Tanja Schultz, Christof Weinhardt
Hybrid Adaptive Systems. Bus. Inf. Syst. Eng. 66 (2) (2024)
Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits. ICCAD (2023)
Yiran Huang, Chaofan Li, Hansen Lu, Till Riedel, Michael Beigl
State Graph Based Explanation Approach for Black-Box Time Series Model. xAI (3) (2023)
Tobias King, Yexu Zhou, Tobias Röddiger, Michael Beigl
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers. CoRR (2023)
Haibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori
Highly-Bespoke Robust Printed Neuromorphic Circuits. DATE (2023)
Dennis Moschina, Tobias Röddiger, Michael Beigl
Vertical Jump Test Using an Earable Accelerometer. UbiComp/ISWC Adjunct (2023)
Yiran Huang, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl
randomHAR: Improving Ensemble Deep Learners for Human Activity Recognition with Sensor Selection and Reinforcement Learning. CoRR (2023)
Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Split Additive Manufacturing for Printed Neuromorphic Circuits. DATE (2023)
Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori
Towards Temporal Information Processing - Printed Neuromorphic Circuits with Learnable Filters. NANOARCH (2023)
Tim Schneegans, Andry Niclas, Kirsten Greiner, Ivo Benke, Alexander Mädche, Michael Beigl
Annotating Affect in the Field: A Case Study on the Usability of a Minimalist Smartwatch User Interface for Affect Annotation. EMPATHICH (2023)
Dariush Salami, Anni Juvakoski, Riku Vahala, Michael Beigl, Stephan Sigg
Water quality analysis using mmWave radars. PerCom Workshops (2023)
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl
McXai: Local Model-Agnostic Explanation As Two Games. IJCNN (2023)
Likun Fang, Erik Pescara, Patrick Reiter, Michael Beigl
How Could I Learn Rhythm Better? Investigating Three Learning Signals for Passive Haptic Learning in Different Context. PETRA (2023)
Nikola Fischer, Hosam Alagi, Michael Beigl, Björn Hein, Franziska Mathis-Ullrich
A Compliant Actuator-Sensor Unit using a Shape Memory Alloy and Capacitive Force Sensing for Active Exoskeleton Interfaces. Humanoids (2023)
Likun Fang, Timo Müller, Erik Pescara, Nikola Fischer, Yiran Huang, Michael Beigl
Investigating Passive Haptic Learning of Piano Songs Using Three Tactile Sensations of Vibration, Stroking and Tapping. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Haibin Zhao, Alexander Scholz, Michael Beigl, Si Ni, Surya Abhishek Singaraju, Jasmin Aghassi-Hagmann
Printed Electrodermal Activity Sensor with Optimized Filter for Stress Detection. ISWC (2022)
Yexu Zhou, Haibin Zhao, Yiran Huang, Till Riedel, Michael Hefenbrock, Michael Beigl
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition. ISWC (2022)
Tim Schneegans, Leon Simmon, Michael Beigl
Privacy Preserving Continuous Speech Recording using Throat Microphones. ISWC (2022)
Andrea Schankin, Matthias Budde, Till Riedel, Michael Beigl
Psychometric Properties of the User Experience Questionnaire (UEQ). CHI (2022)
Stefan Hermann, Tobias Röddiger, Michael Beigl
Towards Detecting Complete Chest Recoil from Smartphone Vibration Strength during Cardiopulmonary Resuscitation. ISWC (2022)
Michael Hefenbrock, Dennis D. Weller, Jasmin Aghassi-Hagmann, Michael Beigl, Mehdi B. Tahoori
In-situ Tuning of Printed Neural Networks for Variation Tolerance. DATE (2022)
Likun Fang, Reimann Malte, Erik Pescara, Michael Beigl
Investigate the Piano Learning Rate with Haptic Actuators in Mixed Reality. AHs (2022)
Tobias Röddiger, Tobias King, Dylan Ray Roodt, Christopher Clarke, Michael Beigl
OpenEarable: Open Hardware Earable Sensing Platform. UbiComp/ISWC Adjunct (2022)
Tobias Röddiger, Christopher Clarke, Paula Breitling, Tim Schneegans, Haibin Zhao, Hans Gellersen, Michael Beigl
Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (3) (2022)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
Automatic Feature Engineering Through Monte Carlo Tree Search. ECML/PKDD (3) (2022)
Likun Fang, Dominik Flohs, Erik Pescara, Ting Zhu, Michael Beigl
Investigation of On-Skin Electromagnetic Actuator for Signaling Direction via Tactile Cues. PETRA (2022)
Ahmet Turan Erozan, Michael Hefenbrock, Dennis R. E. Gnad, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori
Counterfeit Detection and Prevention in Additive Manufacturing Based on Unique Identification of Optical Fingerprints of Printed Structures. IEEE Access 10 (2022)
Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Aging-Aware Training for Printed Neuromorphic Circuits. ICCAD (2022)
Tobias Röddiger, Christopher Clarke, Paula Breitling, Tim Schneegans, Haibin Zhao, Hans Gellersen, Michael Beigl
Excerpt from "Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena". UbiComp/ISWC Adjunct (2022)
Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl
McXai: Local model-agnostic explanation as two games. CoRR (2022)
Chaofan Li, Till Riedel, Michael Beigl
Neural Kernel Network Deep Kernel Learning for Predicting Particulate Matter from Heterogeneous Sensors with Uncertainty. iiWAS (2022)
Likun Fang, Ting Zhu, Erik Pescara, Yiran Huang, Yexu Zhou, Michael Beigl
DragTapVib: An On-Skin Electromagnetic Drag, Tap, and Vibration Actuator for Wearable Computing. AHs (2022)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning. CoRR (2022)
Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl
Universal Distributional Decision-Based Black-Box Adversarial Attack with Reinforcement Learning. ICONIP (3) (2022)
Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer. ISWC (2022)
Dennis D. Weller, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori
Fast and Efficient High-Sigma Yield Analysis and Optimization Using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Daniel Roggen, Katia Vega, Hsin-Liu Cindy Kao, Troy Robert Nachtigall, Jamie A. Ward, Michael Beigl
The 25th Edition of the International Symposium on Wearable Computers. IEEE Pervasive Comput. 21 (2) (2022)
Tobias Röddiger, Michael Beigl, Michael Hefenbrock, Daniel Wolffram, Erik Pescara
Detecting Episodes of Increased Cough Using Kinetic Earables. AHs (2021)
Christian Fleiner, Till Riedel, Michael Beigl, Marcel Ruoff
Ensuring a Robust Multimodal Conversational User Interface During Maintenance Work. Mensch und Computer (2021)
Haibin Zhao, Tobias Röddiger, Michael Beigl
AirCase: Earable Charging Case with Air Quality Monitoring and Soundscape Sonification. UbiComp/ISWC Adjunct (2021)
Dennis D. Weller, Nathaniel Bleier, Michael Hefenbrock, Jasmin Aghassi-Hagmann, Michael Beigl, Rakesh Kumar, Mehdi B. Tahoori
Printed Stochastic Computing Neural Networks. DATE (2021)
Haibin Zhao, Christopher Funk, Benjamin Noack, Uwe D. Hanebeck, Michael Beigl
Kalman Filtered Compressive Sensing Using Pseudo-Measurements. MFI (2021)
Tobias Röddiger, Christopher Clarke, Daniel Wolffram, Matthias Budde, Michael Beigl
EarRumble: Discreet Hands- and Eyes-Free Input by Voluntary Tensor Tympani Muscle Contraction. CHI (2021)
Stefan Hermann, Paula Breitling, Tobias Röddiger, Michael Beigl
Cardiopulmonary Resuscitation Support: Comparison of Wrist-, Chest-, and Ear-Worn Devices and Estimation Algorithms. ISWC (2021)
Tobias Röddiger, Michael Beigl, Dominik Doerner, Matthias Budde
Responsible, Automated Data Gathering for Timely Citizen Dashboard Provision During a Global Pandemic (COVID-19). Digit. Gov. Res. Pract. 2 (1) (2021)
Tobias Röddiger, Christian Dinse, Michael Beigl
Wearability and Comfort of Earables During Sleep. ISWC (2021)
Erik Pescara, Anton Stubenbord, Tobias Röddiger, Likun Fang, Michael Beigl
Where Should I Look? Comparing Reference Frames for Spatial Tactile Cues. ISWC (2021)
Likun Fang, Tobias Röddiger, Felix Schmid, Michael Beigl
EarRecorder: A Multi-Device Earable Data Collection Toolkit. AHs (2021)
Rumen Donchev, Erik Pescara, Michael Beigl
Investigating Retention in Passive Haptic Learning of Piano Songs. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (2) (2021)
Matthias Budde, Jan Felix Rohe, Lina Hirschoff, Patrick Schlosser, Michael Beigl, Jussi Holopainen, Andrea Schankin
SpaceMaze: incentivizing correct mobile crowdsourced sensing behaviour with a sensified minigame. Behav. Inf. Technol. 40 (15) (2021)
Yexu Zhou, Michael Hefenbrock, Yiran Huang, Till Riedel, Michael Beigl
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. ECML/PKDD (4) (2020)
Andreas Wierse, Michael Beigl
Praktische Anwendungen der Smart Data Analytics. Inform. Spektrum 42 (6) (2020)
Antonios Karatzoglou, Jan Ebbing, Phil Ostheimer, Wenlan Hua, Michael Beigl
Sentient destination prediction. User Model. User Adapt. Interact. 30 (3) (2020)
Tobias Röddiger, Michael Beigl, Daniel Wolffram, Matthias Budde, Hongye Sun
PDMSkin: On-Skin Gestures with Printable Ultra-Stretchable Soft Electronic Second Skin. AHs (2020)
Dennis D. Weller, Michael Hefenbrock, Mehdi Baradaran Tahoori, Jasmin Aghassi-Hagmann, Michael Beigl
Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated Transistors. ASP-DAC (2020)
Rainer Schlund, Johannes Riesterer, Marcel Köpke, Michal Kowalski, Paul Tremper, Matthias Budde, Michael Beigl
Calibration of Low-Cost Particulate Matter Sensors with Elastic Weight Consolidation (EWC) as an Incremental Deep Learning Method. SmartCity360° (2020)
Tobias Röddiger, Michael Beigl, Anja Exler
Design space and usability of earable prototyping. ISWC (2020)
Antonios Karatzoglou, Nikolai Schnell, Michael Beigl
Applying depthwise separable and multi-channel convolutional neural networks of varied kernel size on semantic trajectories. Neural Comput. Appl. 32 (11) (2020)
Likun Fang, Tobias Röddiger, Hongye Sun, Norbert Willenbacher, Michael Beigl
FLECTILE: 3D-printable soft actuators for wearable computing. ISWC (2020)
Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
Crossover-aware Placement and Routing for Inkjet Printed Circuits. ACM J. Emerg. Technol. Comput. Syst. 16 (2) (2020)
Yexu Zhou, Yuting Gao, Yiran Huang, Michael Hefenbrock, Till Riedel, Michael Beigl
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone. CoRR (2020)
Long Wang, Till Riedel, Markus Scholz, Michael Beigl, Panlong Yang
Phascope: Fine-Grained, Fast, Flexible Motion Profiling based on Phase Offset in Acoustic OFDM Signal. Mob. Networks Appl. 25 (2) (2020)
Erik Pescara, Florian Dreschner, Karola Marky, Kai Kunze, Michael Beigl
GenVibe: Exploration of Interactive Generation of Personal Vibrotactile Patterns. AHs (2020)
Long Wang, Marian Turowski, Meng Zhang, Till Riedel, Michael Beigl, Ralf Mikut, Veit Hagenmeyer
Point and contextual anomaly detection in building load profiles of a university campus. ISGT-Europe (2020)
Andreas Wierse, Michael Beigl
Erratum. Inform. Spektrum 42 (6) (2020)
Michael Hefenbrock, Dennis D. Weller, Michael Beigl, Mehdi Baradaran Tahoori
Fast and Accurate High-Sigma Failure Rate Estimation through Extended Bayesian Optimized Importance Sampling. DATE (2020)
Markus Lücking, Niclas Kannengießer, Maurice Kilgus, Till Riedel, Michael Beigl, Ali Sunyaev, Wilhelm Stork
The Merits of a Decentralized Pollution-Monitoring System Based on Distributed Ledger Technology. IEEE Access 8 (2020)
Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
Reverse Engineering of Printed Electronics Circuits: From Imaging to Netlist Extraction. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi B. Tahoori
Bayesian Optimized Mixture Importance Sampling for High-Sigma Failure Rate Estimation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (10) (2020)
Erik Pescara, Tobias Polly, Andrea Schankin, Michael Beigl
Reevaluating passive haptic learning of morse code. UbiComp (2019)
Andrei Miclaus, Erik Pescara, Alexander Mädche, Michael Beigl
: towards adaptive work environments with improved industrial HCI. PETRA (2019)
Farhan Rasheed, Michael Hefenbrock, Rajendra Bishnoi, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
Predictive Modeling and Design Automation of Inorganic Printed Electronics. DATE (2019)
Roshan Lalintha Peiris, Thad Starner, Michael Beigl, Kai Kunze, Oliver Amft, Kristof Van Laerhoven
ISWC 2018: Towards Smarter Wearable Technologies That Blend With Our Bodies. IEEE Pervasive Comput. 18 (2) (2019)
Tobias Röddiger, Daniel Wolffram, David Laubenstein, Matthias Budde, Michael Beigl
Towards Respiration Rate Monitoring Using an In-Ear Headphone Inertial Measurement Unit. EarComp@UbiComp (2019)
Ahmet Turan Erozan, Michael Hefenbrock, Michael Beigl, Jasmin Aghassi-Hagmann, Mehdi Baradaran Tahoori
Image PUF: A Physical Unclonable Function for Printed Electronics based on Optical Variation of Printed Inks. IACR Cryptol. ePrint Arch. 2019 (2019)
Matthias Budde, Simon Leiner, Marcel Köpke, Johannes Riesterer, Till Riedel, Michael Beigl
FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter Sensor. Sensors 19 (3) (2019)
Dennis D. Weller, Michael Hefenbrock, Mohammad Saber Golanbari, Michael Beigl, Mehdi Baradaran Tahoori
Bayesian Optimized Importance Sampling for High Sigma Failure Rate Estimation. DATE (2019)
Antonios Karatzoglou, Michael Beigl
Semantic-Enhanced Learning (SEL) on Artificial Neural Networks Using the Example of Semantic Location Prediction. SIGSPATIAL/GIS (2019)
Anja Exler, Vincent Diener, Andrea Schankin, Michael Beigl
Detection of a Smartphone User's Distraction Based on Typing and Touch Gestures. PervasiveHealth (2019)
Erik Pescara, Vincent Diener, Michael Beigl
: comparing temporal and spatial tactile cues in control room environments. PETRA (2019)
Erik Pescara, Ilya Fillipov, Michael Beigl
StockSense: A Wrist-Worn Vibrotactile Display for tracking Volatile Markets. AH (2019)
Anja Exler, Zeynep Günes, Michael Beigl
Preferred notification modalities depending on the location and the location-based activity. UbiComp/ISWC Adjunct (2019)
Long Wang, Lennard Sommer, Till Riedel, Michael Beigl, Yexu Zhou, Yiran Huang
NeuralIO: Indoor Outdoor Detection via Multimodal Sensor Data Fusion on Smartphones. SmartCity360° (2019)
Antonios Karatzoglou, Yannick Meny, Michael Beigl
Identification of Environment- and Context-Specific Key Factors Influencing the User's Thermal Comfort. SMARTGREENS/VEHITS (Selected Papers) (2018)
Antonios Karatzoglou, Markus Szarvas, Michael Beigl
Towards an Affective Semantic Trajectory Generator (ASTG). WiMob (2018)
Anja Exler, Christoph Michel, Michael Beigl
On-Body Smartphone Position Detection with Position Transition Correction Based on the Hand State. MobiCASE (2018)
Antonios Karatzoglou, Dominik Koehler, Michael Beigl
Purpose-of-Visit-Driven Semantic Similarity Analysis on Semantic Trajectories for Enhancing The Future Location Prediction. PerCom Workshops (2018)
Anja Exler, Matthias Budde, Erik Pescara, Andrea Schankin, Till Riedel, Michael Beigl
Challenges and Lessons from Working with Data Collected by Crowdfunding in the Wild. UbiComp/ISWC Adjunct (2018)
Tobias Röddiger, Michael Beigl, Marcel Köpke, Matthias Budde
VOCNEA: sleep apnea and hypopnea detection using a novel tiny gas sensor. UbiComp (2018)
Antonios Karatzoglou, Adrian Jablonski, Michael Beigl
A Seq2Seq learning approach for modeling semantic trajectories and predicting the next location. SIGSPATIAL/GIS (2018)
Antonios Karatzoglou, Julian Janßen, Vethiga Srikanthan, Christof Urbaczek, Michael Beigl
A Predictive Comfort- and Energy-aware MPC-driven Approach based on a Dynamic PMV Subjectification towards Personalization in an Indoor Climate Control Scenario. SMARTGREENS (2018)
Antonios Karatzoglou, Nikolai Schnell, Michael Beigl
A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations. ICANN (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Beigl