フォロー
Daniel Geißler
タイトル
引用先
引用先
Mocapose: Motion capturing with textile-integrated capacitive sensors in loose-fitting smart garments
B Zhou, D Geissler, M Faulhaber, CE Gleiss, EF Zahn, LSS Ray, ...
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2023
272023
The power of training: How different neural network setups influence the energy demand
D Geißler, B Zhou, M Liu, S Suh, P Lukowicz
International Conference on Architecture of Computing Systems, 33-47, 2024
152024
CaptAinGlove: Capacitive and inertial fusion-based glove for real-time on edge hand gesture recognition for drone control
H Bello, S Suh, D Geißler, LSS Ray, B Zhou, P Lukowicz
Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023
92023
Latent Inspector: An Interactive Tool for Probing Neural Network Behaviors Through Arbitrary Latent Activation.
D Geißler, B Zhou, P Lukowicz, R Kaiserslautern-Landau
IJCAI, 7127-7130, 2023
72023
Initial investigation of kolmogorov-arnold networks (kans) as feature extractors for imu based human activity recognition
M Liu, D Geißler, D Nshimyimana, S Bian, B Zhou, P Lukowicz
Companion of the 2024 on ACM International Joint Conference on Pervasive and …, 2024
62024
Embedding textile capacitive sensing into smart wearables as a versatile solution for human motion capturing
D Geißler, B Zhou, H Bello, J Sorysz, L Ray, H Javaheri, M Rüb, J Herbst, ...
Scientific Reports 14 (1), 15797, 2024
62024
MoCa'Collection: Normalizing Dynamic Textile Geometry with Capacitive Sensing in Design Centric Wearables
D Geißler, EF Zahn, H Bello, LSS Ray, E Woop, B Zhou, P Lukowicz, ...
Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023
62023
Towards certifiable ai in aviation: landscape, challenges, and opportunities
H Bello, D Geißler, L Ray, S Müller-Divéky, P Müller, S Kittrell, M Liu, ...
arXiv preprint arXiv:2409.08666, 2024
42024
Capafoldable: self-tracking foldable smart textiles with capacitive sensing
L Shakti Swarup Ray, D Geißler, B Zhou, P Lukowicz, B Greinke
arXiv e-prints, arXiv: 2307.05370, 2023
3*2023
TSAK: Two-Stage Semantic-Aware Knowledge Distillation for Efficient Wearable Modality and Model Optimization in Manufacturing Lines
H Bello, D Geißler, S Suh, B Zhou, P Lukowicz
International Conference on Pattern Recognition, 201-216, 2025
22025
Misinforming LLMs: vulnerabilities, challenges and opportunities
B Zhou, D Geißler, P Lukowicz
arXiv preprint arXiv:2408.01168, 2024
22024
ALS-HAR: Harnessing Wearable Ambient Light Sensors to Enhance IMU-Based Human Activity Recognition
LSS Ray, D Geißler, M Liu, B Zhou, S Suh, P Lukowicz
International Conference on Pattern Recognition, 133-147, 2024
12024
Towards Non-Distracting Smartphone Interaction While Biking Using Capacitive Sensing as Input Device
D Geissler, B Zhou, H Javaheri, EF Zahn, E Woop, S Schaffer, P Lukowicz, ...
Companion of the 2024 on ACM International Joint Conference on Pervasive and …, 2024
12024
Head 'n Shoulder: Gesture-Driven Biking Through Capacitive Sensing Garments to Innovate Hands-Free Interaction
D Geißler, H Bello, E Zahn, E Woop, B Zhou, P Lukowicz, J Karolus
Proceedings of the ACM on Human-Computer Interaction 8 (MHCI), 1-20, 2024
12024
Origami single-end capacitive sensing for continuous shape estimation of morphing structures
L Ray, D Geißler, B Zhou, P Lukowicz, B Greinke
Scientific Reports 14 (1), 17448, 2024
12024
Assessing the Impact of Sampling Irregularity in Time Series Data: Human Activity Recognition As A Case Study
M Liu, D Geißler, S Bian, B Zhou, P Lukowicz
arXiv preprint arXiv:2501.15330, 2025
2025
Beyond Confusion: A Fine-grained Dialectical Examination of Human Activity Recognition Benchmark Datasets
D Geissler, D Nshimyimana, VF Rey, S Suh, B Zhou, P Lukowicz
arXiv preprint arXiv:2412.09037, 2024
2024
Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition
D Geissler, B Zhou, P Lukowicz
arXiv preprint arXiv:2412.08507, 2024
2024
Spend More to Save More (SM2): An Energy-Aware Implementation of Successive Halving for Sustainable Hyperparameter Optimization
D Geissler, B Zhou, S Suh, P Lukowicz
arXiv preprint arXiv:2412.08526, 2024
2024
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces
D Geissler, B Zhou, M Liu, P Lukowicz
arXiv preprint arXiv:2412.08515, 2024
2024
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