Alexander Hölzemann - researchr alias

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Viewing Publication 1 - 8 from 8

2022

Investigating (re)current state-of-the-art in human activity recognition datasetsMarius Bock, Alexander Hölzemann, Michael Möller 0001, Kristof Van Laerhoven. fcomp, 4, 2022. [doi]

2021

Improving Deep Learning for HAR with Shallow LSTMsMarius Bock, Alexander Hölzemann, Michael Moeller 0001, Kristof Van Laerhoven. iswc 2021: 7-12 [doi]

Data Augmentation Strategies for Human Activity Data Using Generative Adversarial Neural NetworksAlexander Hölzemann, Nimish Sorathiya, Kristof Van Laerhoven. percom 2021: 8-13 [doi]

Open-Source Data Collection for Activity Studies at ScaleAlexander Hölzemann, Jana Sabrina Pithan, Kristof Van Laerhoven. abc 2022: 27-38 [doi]

2020

Digging deeper: towards a better understanding of transfer learning for human activity recognitionAlexander Hölzemann, Kristof Van Laerhoven. iswc 2020: 50-54 [doi]

2019

Using an in-Ear Wearable to Annotate Activity Data across Multiple Inertial SensorsAlexander Hölzemann, Henry Odoemelem, Kristof Van Laerhoven. huc 2019: 14-19 [doi]

Using the eSense Wearable Earbud as a Light-Weight Robot Arm ControllerHenry Odoemelem, Alexander Hölzemann, Kristof Van Laerhoven. huc 2019: 26-29 [doi]

2018

Using Wrist-Worn Activity Recognition for Basketball Game AnalysisAlexander Hölzemann, Kristof Van Laerhoven. iwoar 2018: [doi]

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