| Improving deep learning for HAR with shallow LSTMs M Bock, A Hölzemann, M Moeller, K Van Laerhoven Proceedings of the 2021 ACM International Symposium on Wearable Computers, 7-12, 2021 | 100 | 2021 |
| Hang-time HAR: A benchmark dataset for basketball activity recognition using wrist-worn inertial sensors A Hoelzemann, JL Romero, M Bock, KV Laerhoven, Q Lv Sensors 23 (13), 5879, 2023 | 50 | 2023 |
| Using wrist-worn activity recognition for basketball game analysis A Hölzemann, K Van Laerhoven Proceedings of the 5th international Workshop on Sensor-based Activity …, 2018 | 48 | 2018 |
| Digging deeper: Towards a better understanding of transfer learning for human activity recognition A Hoelzemann, K Van Laerhoven Proceedings of the 2020 ACM International Symposium on Wearable Computers, 50-54, 2020 | 34 | 2020 |
| Data augmentation strategies for human activity data using generative adversarial neural networks A Hoelzemann, N Sorathiya, K Van Laerhoven 2021 IEEE International Conference on Pervasive Computing and Communications …, 2021 | 32 | 2021 |
| Using an in-ear wearable to annotate activity data across multiple inertial sensors A Hoelzemann, H Odoemelem, K Van Laerhoven Proceedings of the 1st International Workshop on Earable Computing, 14-19, 2019 | 19 | 2019 |
| Validation of an open-source ambulatory assessment system in support of replicable activity studies K Van Laerhoven, A Hoelzemann, I Pahmeier, A Teti, L Gabrys German Journal of Exercise and Sport Research 52 (2), 262-272, 2022 | 17 | 2022 |
| Investigating (re) current state-of-the-art in human activity recognition datasets M Bock, A Hoelzemann, M Moeller, K Van Laerhoven Frontiers in Computer Science 4, 924954, 2022 | 13 | 2022 |
| Transformer networks for data augmentation of human physical activity recognition S Ramachandra, A Hoelzemann, K Van Laerhoven arXiv preprint arXiv:2109.01081, 2021 | 13 | 2021 |
| A matter of annotation: an empirical study on in situ and self-recall activity annotations from wearable sensors A Hoelzemann, K Van Laerhoven Frontiers in Computer Science 6, 1379788, 2024 | 9 | 2024 |
| Using the eSense wearable earbud as a light-weight robot arm controller H Odoemelem, A Hölzemann, K Van Laerhoven Proceedings of the 1st International Workshop on Earable Computing, 26-29, 2019 | 9 | 2019 |
| Activity tracker-based intervention to increase physical activity in patients with type 2 diabetes and healthy individuals: study protocol for a randomized controlled trial M Mähs, JS Pithan, I Bergmann, L Gabrys, J Graf, A Hölzemann, ... Trials 23 (1), 617, 2022 | 7 | 2022 |
| Open-source data collection for activity studies at scale A Hoelzemann, JS Pithan, K Van Laerhoven Sensor-and Video-Based Activity and Behavior Computing: Proceedings of 3rd …, 2022 | 5 | 2022 |
| Tutorial on deep learning for human activity recognition M Bock, A Hölzemann, M Moeller, K Van Laerhoven arXiv preprint arXiv:2110.06663, 2021 | 5 | 2021 |
| Evaluation of video-assisted annotation of human imu data across expertise, datasets, and tools A Hoelzemann, M Bock, K Van Laerhoven 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | 4 | 2024 |
| A Data-Driven Study on the Hawthorne Effect in Sensor-Based Human Activity Recognition A Hoelzemann, M Bock, EA Valladares Bastías, S El Ouazzani Touhami, ... Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023 | 4 | 2023 |
| Detecting handwritten mathematical terms with sensor based data L Wegmeth, A Hoelzemann, K Van Laerhoven arXiv preprint arXiv:2109.05594, 2021 | 4 | 2021 |
| Basketball shooting performance analysis using multi-modal wearable and mobile sensing in semi-naturalistic settings S Wu, A Hoelzemann, M Bock, K Van Laerhoven, T Plötz, AT Adams 2024 IEEE 20th International Conference on Body Sensor Networks (BSN), 1-4, 2024 | 1 | 2024 |
| WellComp 2024: Seventh International Workshop on Computing for Well-Being T Dang, S Gashi, D Spathis, A Hoelzemann Companion of the 2024 on ACM International Joint Conference on Pervasive and …, 2024 | | 2024 |
| Self-Annotated Wearable Activity Data A Hoelzemann, K Van Laerhoven Zenodo, 2024 | | 2024 |
Kristof Van LaerhovenUniversity of SiegenVerified email at eti.uni-siegen.de
