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ORCIDMichael Beigl
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- affiliation: Karlsruhe Institute of Technology, TECO research group, Germany
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2020 – today
- 2024
[j49]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): 233-247 (2024)- [j48]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): 48:1-48:27 (2024) - [c245]Hosam Alagi, Nikola Fischer, Kai Behrends, Iris Fürst-Walter, Jürgen Becker, Michael Beigl, Franziska Mathis-Ullrich, Björn Hein:
Enhancing Force Sensing Capabilities in Exoskeleton Interfaces Using Compliant Actuator-Sensor Units - A User Study. BioRob 2024: 889-894 - [c244]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: 1-6 - [c243]Tu Anh Dinh, Carlos Mullov, Leonard Bärmann, Zhaolin Li, Danni Liu, Simon Reiß, Jueun Lee, Nathan Lerzer, Jianfeng Gao, Fabian Peller-Konrad, Tobias Röddiger, 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. EMNLP 2024: 11592-11610 - [c242]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: 1-6 - [c241]Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl:
A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice. IJCNN 2024: 1-10 - [c240]Yexu Zhou, Haibin Zhao, Michael Hefenbrock, Siyan Li, Yiran Huang, Michael Beigl:
Deep Neural Network Pruning with Progressive Regularizer. IJCNN 2024: 1-10 - [c239]Yexu Zhou, Tobias King, Haibin Zhao, Yiran Huang, Till Riedel, Michael Beigl:
MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers. ISWC 2024: 133-139 - [c238]Tobias King, Tobias Röddiger, David Laubenstein, Michael Beigl:
Systematic Comparison of Ear Temperature Probing Positions for Continuous Wearable Vital Sign Monitoring. ISWC 2024: 144-147 - [c237]Sarah Makarem, Tobias Röddiger, Till Riedel, Michael Beigl:
PictographAI: Interactive Generation of Stylized Pictographs for Presentations. MuC (Workshopband) 2024 - [c236]Tobias Röddiger, Michael T. Knierim, Philipp Lepold, Tobias King, Michael Beigl:
OpenEarable Suite: Open-Source Hardware to Sense 30+ Phenomena on the Ears. MuC (Workshopband) 2024 - [c235]Michael Beigl:
Keynote: Open Wearable Computer Systems and Applications. PerCom Workshops 2024: 31 - [c234]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: 33-38 - [c233]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: 160-165 - [c232]Yiran Huang, Yexu Zhou, Haibin Zhao, Likun Fang, Till Riedel, Michael Beigl:
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models. ECML/PKDD (10) 2024: 429-446 - [c231]Zhechang Xue, Yiran Huang, Hongnan Ma, Michael Beigl:
Generate Explanations for Time-series classification by ChatGPT. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 49-56 - [e11]Alexander Maedche, Michael Beigl, Kathrin Gerling, Sven Mayer:
Proceedings of Mensch und Computer 2024, MuC 2024, Karlsruhe, Germany, September 1-4, 2024. ACM 2024, ISBN 979-8-4007-0998-2 [contents] - [i11]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 abs/2401.05477 (2024) - [i10]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 abs/2406.10421 (2024) - [i9]Yiran Huang, Yexu Zhou, Haibin Zhao, Till Riedel, Michael Beigl:
Explainable Deep Learning Framework for Human Activity Recognition. CoRR abs/2408.11552 (2024) - [i8]Philipp Lepold, Tobias Röddiger, Tobias King, Kai Kunze, Christoph Maurer, Michael Beigl:
OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications. CoRR abs/2410.06533 (2024) - [i7]Richard Hanser, Tobias Röddiger, Till Riedel, Michael Beigl:
EarCapAuth: Biometric Method for Earables Using Capacitive Sensing Eartips. CoRR abs/2411.04657 (2024) - 2023
- [j47]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): 95:1-95:19 (2023) - [c230]Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Split Additive Manufacturing for Printed Neuromorphic Circuits. DATE 2023: 1-6 - [c229]Haibin Zhao, Brojogopal Sapui, Michael Hefenbrock, Zhidong Yang, Michael Beigl, Mehdi B. Tahoori:
Highly-Bespoke Robust Printed Neuromorphic Circuits. DATE 2023: 1-6 - [c228]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: 9:1-9:5 - [c227]Dennis Moschina, Tobias Röddiger, Michael Beigl:
Vertical Jump Test Using an Earable Accelerometer. UbiComp/ISWC Adjunct 2023: 324-326 - [c226]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: 1-7 - [c225]Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits. ICCAD 2023: 1-9 - [c224]Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Michael Beigl:
McXai: Local Model-Agnostic Explanation As Two Games. IJCNN 2023: 1-8 - [c223]Haibin Zhao, Priyanjana Pal, Michael Hefenbrock, Michael Beigl, Mehdi Baradaran Tahoori:
Towards Temporal Information Processing - Printed Neuromorphic Circuits with Learnable Filters. NANOARCH 2023: 12:1-12:6 - [c222]Dariush Salami, Anni Juvakoski, Riku Vahala, Michael Beigl, Stephan Sigg:
Water quality analysis using mmWave radars. PerCom Workshops 2023: 412-415 - [c221]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: 279-283 - [c220]Yiran Huang, Chaofan Li, Hansen Lu, Till Riedel, Michael Beigl:
State Graph Based Explanation Approach for Black-Box Time Series Model. xAI (3) 2023: 153-164 - [i6]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 abs/2307.07770 (2023) - [i5]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 abs/2310.18384 (2023) - 2022
- [j46]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: 105910-105919 (2022) - [j45]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): 135:1-135:57 (2022) - [j44]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): 105-111 (2022) - [j43]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): 695-708 (2022) - [c219]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: 203-211 - [c218]Likun Fang, Reimann Malte, Erik Pescara, Michael Beigl:
Investigate the Piano Learning Rate with Haptic Actuators in Mixed Reality. AHs 2022: 287-290 - [c217]Andrea Schankin, Matthias Budde, Till Riedel, Michael Beigl:
Psychometric Properties of the User Experience Questionnaire (UEQ). CHI 2022: 466:1-466:11 - [c216]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: 72-75 - [c215]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: 244-245 - [c214]Tobias Röddiger, Tobias King, Dylan Ray Roodt, Christopher Clarke, Michael Beigl:
OpenEarable: Open Hardware Earable Sensing Platform. UbiComp/ISWC Adjunct 2022: 246-251 - [c213]Haibin Zhao, Michael Hefenbrock, Michael Beigl, Mehdi B. Tahoori:
Aging-Aware Training for Printed Neuromorphic Circuits. ICCAD 2022: 38:1-38:9 - [c212]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: 206-215 - [c211]Chaofan Li, Till Riedel, Michael Beigl:
Neural Kernel Network Deep Kernel Learning for Predicting Particulate Matter from Heterogeneous Sensors with Uncertainty. iiWAS 2022: 252-266 - [c210]Haibin Zhao, Yexu Zhou, Till Riedel, Michael Hefenbrock, Michael Beigl:
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer. ISWC 2022: 84-88 - [c209]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: 89-93 - [c208]Stefan Hermann, Tobias Röddiger, Michael Beigl:
Towards Detecting Complete Chest Recoil from Smartphone Vibration Strength during Cardiopulmonary Resuscitation. ISWC 2022: 103-105 - [c207]Tim Schneegans, Leon Simmon, Michael Beigl:
Privacy Preserving Continuous Speech Recording using Throat Microphones. ISWC 2022: 106-108 - [c206]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: 112-114 - [c205]Likun Fang, Dominik Flohs, Erik Pescara, Ting Zhu, Michael Beigl:
Investigation of On-Skin Electromagnetic Actuator for Signaling Direction via Tactile Cues. PETRA 2022: 303-304 - [c204]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Automatic Feature Engineering Through Monte Carlo Tree Search. ECML/PKDD (3) 2022: 581-598 - [i4]Yiran Huang, Nicole Schaal, Michael Hefenbrock, Yexu Zhou, Till Riedel, Likun Fang, Michael Beigl:
McXai: Local model-agnostic explanation as two games. CoRR abs/2201.01044 (2022) - [i3]Yiran Huang, Yexu Zhou, Michael Hefenbrock, Till Riedel, Likun Fang, Michael Beigl:
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning. CoRR abs/2211.08384 (2022) - 2021
- [j42]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): 1627-1642 (2021) - [j41]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): 9:1-9:9 (2021) - [j40]Rumen Donchev, Erik Pescara, Michael Beigl:
Investigating Retention in Passive Haptic Learning of Piano Songs. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 60:1-60:14 (2021) - [c203]Tobias Röddiger, Michael Beigl, Michael Hefenbrock, Daniel Wolffram, Erik Pescara:
Detecting Episodes of Increased Cough Using Kinetic Earables. AHs 2021: 111-115 - [c202]Likun Fang, Tobias Röddiger, Felix Schmid, Michael Beigl:
EarRecorder: A Multi-Device Earable Data Collection Toolkit. AHs 2021: 286-288 - [c201]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: 743:1-743:14 - [c200]Dennis D. Weller, Nathaniel Bleier, Michael Hefenbrock, Jasmin Aghassi-Hagmann, Michael Beigl, Rakesh Kumar, Mehdi B. Tahoori:
Printed Stochastic Computing Neural Networks. DATE 2021: 914-919 - [c199]Haibin Zhao, Tobias Röddiger, Michael Beigl:
AirCase: Earable Charging Case with Air Quality Monitoring and Soundscape Sonification. UbiComp/ISWC Adjunct 2021: 180-184 - [c198]Stefan Hermann, Paula Breitling, Tobias Röddiger, Michael Beigl:
Cardiopulmonary Resuscitation Support: Comparison of Wrist-, Chest-, and Ear-Worn Devices and Estimation Algorithms. ISWC 2021: 28-32 - [c197]Erik Pescara, Anton Stubenbord, Tobias Röddiger, Likun Fang, Michael Beigl:
Where Should I Look? Comparing Reference Frames for Spatial Tactile Cues. ISWC 2021: 68-72 - [c196]Tobias Röddiger, Christian Dinse, Michael Beigl:
Wearability and Comfort of Earables During Sleep. ISWC 2021: 150-152 - [c195]Christian Fleiner, Till Riedel, Michael Beigl, Marcel Ruoff:
Ensuring a Robust Multimodal Conversational User Interface During Maintenance Work. MuC 2021: 79-91 - [c194]Haibin Zhao, Christopher Funk, Benjamin Noack, Uwe D. Hanebeck, Michael Beigl:
Kalman Filtered Compressive Sensing Using Pseudo-Measurements. MFI 2021: 1-8 - [e10]Afsaneh Doryab, Qin Lv, Michael Beigl:
UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, Virtual Event, September 21-25, 2021. ACM 2021, ISBN 978-1-4503-8461-2 [contents] - 2020
- [j39]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: 189365-189381 (2020) - [j38]Andreas Wierse, Michael Beigl:
Praktische Anwendungen der Smart Data Analytics. Inform. Spektrum 42(6): 401-408 (2020) - [j37]Andreas Wierse, Michael Beigl:
Erratum. Inform. Spektrum 42(6): 409 (2020) - [j36]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): 19:1-19:22 (2020) - [j35]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): 537-550 (2020) - [j34]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): 6685-6698 (2020) - [j33]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): 2772-2783 (2020) - [j32]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: 475-486 (2020) - [j31]Antonios Karatzoglou, Jan Ebbing, Phil Ostheimer, Wenlan Hua, Michael Beigl:
Sentient destination prediction. User Model. User Adapt. Interact. 30(3): 331-363 (2020) - [c193]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: 446-451 - [c192]Erik Pescara, Florian Dreschner, Karola Marky, Kai Kunze, Michael Beigl:
GenVibe: Exploration of Interactive Generation of Personal Vibrotactile Patterns. AHs 2020: 8:1-8:9 - [c191]Tobias Röddiger, Michael Beigl, Daniel Wolffram, Matthias Budde, Hongye Sun:
PDMSkin: On-Skin Gestures with Printable Ultra-Stretchable Soft Electronic Second Skin. AHs 2020: 28:1-28:9 - [c190]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: 103-108 - [c189]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: 11-15 - [c188]Likun Fang, Tobias Röddiger, Hongye Sun, Norbert Willenbacher, Michael Beigl:
FLECTILE: 3D-printable soft actuators for wearable computing. ISWC 2020: 32-36 - [c187]Tobias Röddiger, Michael Beigl, Anja Exler:
Design space and usability of earable prototyping. ISWC 2020: 73-78 - [c186]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: 461-477 - [c185]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: 596-614 - [i2]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 abs/2008.03961 (2020)
2010 – 2019
- 2019
- [j30]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): 96-99 (2019) - [j29]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): 749 (2019) - [c184]Erik Pescara, Ilya Fillipov, Michael Beigl:
StockSense: A Wrist-Worn Vibrotactile Display for tracking Volatile Markets. AH 2019: 4:1-4:4 - [c183]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: 30-35 - [c182]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: 1667-1672 - [c181]Antonios Karatzoglou, Michael Beigl:
Semantic-Enhanced Learning (SEL) on Artificial Neural Networks Using the Example of Semantic Location Prediction. SIGSPATIAL/GIS 2019: 448-451 - [c180]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: 48-53 - [c179]Erik Pescara, Tobias Polly, Andrea Schankin, Michael Beigl:
Reevaluating passive haptic learning of morse code. UbiComp 2019: 186-194 - [c178]Anja Exler, Zeynep Günes, Michael Beigl:
Preferred notification modalities depending on the location and the location-based activity. UbiComp/ISWC Adjunct 2019: 1064-1069 - [c177]Erik Pescara, Vincent Diener, Michael Beigl:
VibrAid: comparing temporal and spatial tactile cues in control room environments. PETRA 2019: 138-145 - [c176]Andrei Miclaus, Erik Pescara, Alexander Mädche, Michael Beigl:
Drive by maintenance: towards adaptive work environments with improved industrial HCI. PETRA 2019: 382-388 - [c175]Anja Exler, Vincent Diener, Andrea Schankin, Michael Beigl:
Detection of a Smartphone User's Distraction Based on Typing and Touch Gestures. PervasiveHealth 2019: 242-250 - [c174]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: 127-138 - [i1]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: 1419 (2019) - 2018
- [j28]Antonios Karatzoglou, Dominik Koehler, Michael Beigl:
Semantic-Enhanced Multi-Dimensional Markov Chains on Semantic Trajectories for Predicting Future Locations. Sensors 18(10): 3582 (2018) - [c173]