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 | 46 | 2021 |
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 | 41 | 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 | 24 | 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 | 16 | 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 | 13 | 2019 |
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 | 8 | 2023 |
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 | 8 | 2022 |
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 | 6 | 2019 |
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 | 5 | 2022 |
Transformer networks for data augmentation of human physical activity recognition S Ramachandra, A Hoelzemann, K Van Laerhoven arXiv preprint arXiv:2109.01081, 2021 | 5 | 2021 |
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 | 3 | 2022 |
Detecting handwritten mathematical terms with sensor based data L Wegmeth, A Hoelzemann, K Van Laerhoven arXiv preprint arXiv:2109.05594, 2021 | 2 | 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 | 1 | 2024 |
A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors A Hoelzemann, K Van Laerhoven arXiv preprint arXiv:2305.08752, 2023 | 1 | 2023 |
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 | 1 | 2022 |
Tutorial on Deep Learning for Human Activity Recognition M Bock, A Hölzemann, M Moeller, K Van Laerhoven arXiv preprint arXiv:2110.06663, 2021 | 1 | 2021 |
Artifacts Guide: Evaluation of Video-Assisted Annotation of Human IMU Data A Hoelzemann, M Bock, K Van Laerhoven 2024 IEEE International Conference on Pervasive Computing and Communications …, 2024 | | 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 | | 2023 |
WellComp 2023: Sixth International Workshop on Computing for Well-Being S Gashi, D Spathis, T Dang, A Hoelzemann Adjunct Proceedings of the 2023 ACM International Joint Conference on …, 2023 | | 2023 |