Alexander Hölzemann

Orcid: 0000-0001-6509-0009

Affiliations:
  • University of Siegen, Ubiquitous Computing, Germany


According to our database1, Alexander Hölzemann authored at least 17 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Artifacts Guide: Evaluation of Video-Assisted Annotation of Human IMU Data.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Evaluation of Video-Assisted Annotation of Human IMU Data Across Expertise, Datasets, and Tools.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

2023
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors.
Sensors, July, 2023

A Matter of Annotation: An Empirical Study on In Situ and Self-Recall Activity Annotations from Wearable Sensors.
CoRR, 2023

A Data-Driven Study on the Hawthorne Effect in Sensor-Based Human Activity Recognition.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

WellComp 2023: Sixth International Workshop on Computing for Well-Being.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

2022
Investigating (re)current state-of-the-art in human activity recognition datasets.
Frontiers Comput. Sci., 2022

2021
Tutorial on Deep Learning for Human Activity Recognition.
CoRR, 2021

Detecting Handwritten Mathematical Terms with Sensor Based Data.
CoRR, 2021

Transformer Networks for Data Augmentation of Human Physical Activity Recognition.
CoRR, 2021

Data Augmentation Strategies for Human Activity Data Using Generative Adversarial Neural Networks.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Improving Deep Learning for HAR with Shallow LSTMs.
Proceedings of the ISWC 2021: Proceedings of the 2021 ACM International Symposium on Wearable Computers, 2021

Open-Source Data Collection for Activity Studies at Scale.
Proceedings of the Sensor- and Video-Based Activity and Behavior Computing, 2021

2020
Digging deeper: towards a better understanding of transfer learning for human activity recognition.
Proceedings of the ISWC '20: 2020 ACM International Symposium on Wearable Computers, 2020

2019
Using the eSense Wearable Earbud as a Light-Weight Robot Arm Controller.
Proceedings of the 1st International Workshop on Earable Computing, 2019

Using an in-Ear Wearable to Annotate Activity Data across Multiple Inertial Sensors.
Proceedings of the 1st International Workshop on Earable Computing, 2019

2018
Using Wrist-Worn Activity Recognition for Basketball Game Analysis.
Proceedings of the 5th international Workshop on Sensor-based Activity Recognition and Interaction, 2018


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