| Convolutional neural networks for human activity recognition using body-worn sensors F Moya Rueda, R Grzeszick, GA Fink, S Feldhorst, M Ten Hompel Informatics 5 (2), 26, 2018 | 213 | 2018 |
| Deep neural network based human activity recognition for the order picking process R Grzeszick, JM Lenk, FM Rueda, GA Fink, S Feldhorst, M Ten Hompel Proceedings of the 4th international Workshop on Sensor-based Activity …, 2017 | 104 | 2017 |
| Lara: Creating a dataset for human activity recognition in logistics using semantic attributes F Niemann, C Reining, F Moya Rueda, NR Nair, JA Steffens, GA Fink, ... Sensors 20 (15), 4083, 2020 | 82 | 2020 |
| Human Activity Recognition for Production and Logistics—A Systematic Literature Review GAFMH Christopher Reining, Friedrich Niemann, Fernando Moya Rueda Information 10 (8), 245, 2019 | 64 | 2019 |
| Learning Attribute Representation for Human Activity Recognition FM Rueda, GA Fink 2018 24th International Conference on Pattern Recognition (ICPR), 523-528, 2018 | 31 | 2018 |
| Neuron pruning for compressing deep networks using maxout architectures F Moya Rueda, R Grzeszick, GA Fink German Conference on Pattern Recognition, 177-188, 2017 | 26 | 2017 |
| Attribute representation for human activity recognition of manual order picking activities C Reining, M Schlangen, L Hissmann, M ten Hompel, F Moya, GA Fink Proceedings of the 5th international Workshop on Sensor-based Activity …, 2018 | 23 | 2018 |
| Combining symbolic reasoning and deep learning for human activity recognition FM Rueda, S Lüdtke, M Schröder, K Yordanova, T Kirste, GA Fink 2019 IEEE International Conference on Pervasive Computing and Communications …, 2019 | 22 | 2019 |
| Annotation Performance for multi-channel time series HAR Dataset in Logistics C Reining, FM Rueda, F Niemann, GA Fink, M ten Hompel 2020 IEEE International Conference on Pervasive Computing and Communications …, 2020 | 19 | 2020 |
| Benchmarking annotation procedures for multi-channel time series HAR dataset H Avsar, E Altermann, C Reining, FM Rueda, GA Fink, M ten Hompel 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 15 | 2021 |
| Towards a framework for semi-automated annotation of human order picking activities using motion capturing C Reining, FM Rueda, M Ten Hampel, GA Fink 2018 Federated Conference on Computer Science and Information Systems …, 2018 | 15 | 2018 |
| From human pose to on-body devices for human-activity recognition FM Rueda, GA Fink 2020 25th International Conference on Pattern Recognition (ICPR), 10066-10073, 2021 | 9 | 2021 |
| A Tutorial on Dataset Creation for Sensor-based Human Activity Recognition C Reining, NR Nair, F Niemann, FM Rueda, GA Fink 2023 IEEE International Conference on Pervasive Computing and Communications …, 2023 | 5 | 2023 |
| Dataset bias in human activity recognition NR Nair, L Schmid, FM Rueda, M Pauly, GA Fink, C Reining arXiv preprint arXiv:2301.10161, 2023 | 5 | 2023 |
| Multi-channel time-series person and soft-biometric identification NR Nair, F Moya Rueda, C Reining, GA Fink International Conference on Pattern Recognition, 256-272, 2022 | 5 | 2022 |
| Human Activity Recognition using Attribute-Based Neural Networks and Context Information S Lüdtke, FM Rueda, W Ahmed, GA Fink, T Kirste arXiv preprint arXiv:2111.04564, 2021 | 5 | 2021 |
| Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition S Awasthi, FM Rueda, GA Fink 2022 26th International Conference on Pattern Recognition (ICPR), 4514-4521, 2022 | 2 | 2022 |
| Learning attribute representation for human activity recognition F Moya Rueda, GA Fink arXiv e-prints, arXiv: 1802.00761, 2018 | 2 | 2018 |
| Miss-placement Prediction of Multiple On-body Devices for Human Activity Recognition R Dönnebrink, F Moya Rueda, R Grzeszick, M Stach Proceedings of the 8th international Workshop on Sensor-Based Activity …, 2023 | 1 | 2023 |
| Augmentation of Human Activity Data: Convert, Generate, Transform NR Nair, A Matei, D Krön, F Moya Rueda, C Reining, GA Fink International Conference on Pattern Recognition, 66-81, 2025 | | 2025 |
Gernot A. FinkDepartment of Computer Science, TU Dortmund University, Dortmund, GermanyVerified email at udo.edu
