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Alexander Hoelzemann
Alexander Hoelzemann
Dirección de correo verificada de uni-siegen.de
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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
452021
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
412018
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
242020
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
162021
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
132019
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
82023
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
82022
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
62019
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
52022
Transformer networks for data augmentation of human physical activity recognition
S Ramachandra, A Hoelzemann, K Van Laerhoven
arXiv preprint arXiv:2109.01081, 2021
52021
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
32022
Detecting handwritten mathematical terms with sensor based data
L Wegmeth, A Hoelzemann, K Van Laerhoven
arXiv preprint arXiv:2109.05594, 2021
22021
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
12024
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
12023
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
12022
Tutorial on Deep Learning for Human Activity Recognition
M Bock, A Hölzemann, M Moeller, K Van Laerhoven
arXiv preprint arXiv:2110.06663, 2021
12021
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
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Artículos 1–19