Daniel Krauß
Daniel Krauß, M. Sc.
Since 03/2022 | Researcher and PhD Candidate
Machine Learning and Data Analytics Lab, |
03/2024 – 07/2024 | Research Visit
Motion Analysis Lab, Harvard Medical School Project topic: Analyzing accelerometer and video data for posture change detection to assess orthostatic dysfunctionality in Parkinson’s disease |
08/2020 – 01/2021 | Semester abroad in Hungary “Computer Engineering”
Budapest University of Technology and Economics |
10/2020 – 02/2021 | Teaching Assistant
Algorithms and Data Structures |
12/2019 – 06/2020 | Working student
Future Sports at Adidas AG, Herzogenaurach |
04/2019 – 01/2022 | M.Sc in Medical Engineering “Medical Image and Data Processing”
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master’s Thesis: Benchmarking of Sleep/Wake Detection Algorithms using Wearable Sensors and Machine Learning |
09/2016 – 04/2108 | Teaching Assistant
Algorithms and Data Structures & Medical Engineering I |
09/2015 – 01/2019 | B.Sc in Medical Engineering “Medical Production Technology, Device Engineering and Prosthetics”
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Bachelor’s Thesis: Heart Rate Variability Analysis for Unsupervised Tilt Table Testing during Daily-life Activities |
2024
EmRad: Ubiquitous Vital Sign Sensing using Compact Continuous-Wave Radars
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-10
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3420241
URL: https://ieeexplore.ieee.org/document/10577086
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A Review and Tutorial on Machine Learning- Enabled Radar-Based Biomedical Monitoring
In: IEEE Open Journal of Engineering in Medicine and Biology (2024), p. 1-22
ISSN: 2644-1276
DOI: 10.1109/OJEMB.2024.3397208
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End-to-End Learning for Human Pose Estimation from Raw Millimeter Wave Radar Data
Asilomar Conference on Signals, Systems, and Computers
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2023
Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning
2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) (Pittsburgh, 15. October 2023 - 18. October 2023)
In: 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), New York City: 2023
DOI: 10.1109/BHI58575.2023.10313506
URL: https://www.mad.tf.fau.de/files/2023/12/braeunig23_radar_palliative_care.pdf
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Contactless Heart Rate Estimation using a 61 GHz Continuous-Wave Radar
IEEE-EMBS International Conference on Body Sensor Networks: Sensor and Systems for Digital Health (MIT Media Lab, Boston MA, 9. October 2023 - 11. October 2023)
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Author Correction: Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID (Scientific Reports, (2023), 13, 1, (13167), 10.1038/s41598-023-40263-w)
In: Scientific Reports 13 (2023), Article No.: 16307
ISSN: 2045-2322
DOI: 10.1038/s41598-023-43373-7
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Virtual reality for assessing stereopsis performance and eye characteristics in Post-COVID
In: Scientific Reports 13 (2023), p. 13167-
ISSN: 2045-2322
DOI: 10.1038/s41598-023-40263-w
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2022
Benchmarking of Sleep/Wake Detection Algorithms on a Large Cohort using Actigraphy, HRV, and Respiration Information
IEEE-EMBS International Conference on Biomedical and Health Informatics (Ioaninna, 26. September 2022 - 30. September 2022)
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Towards Integration of Sleep Quality in Sports Monitoring – Improving Wearable Sleep Detection Algorithms through Respiratory Information
13th World Congress of Performance Analysis of Sport 2022 & 13th International Symposium on Computer Science in Sport 2022 (Wien, 10. September 2022 - 13. September 2022)
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- : Routledge Young Researcher Award (2nd place) (International Association of Computer Science in Sport) – 2022
Year | Name | Title |
2024 | Carlos Herrera Krebber |
Machine Learning based sleep staging from Contactless Vital Sign Radars (Master’s Thesis) |
2024 | Desar Mejdani |
Radar-based Tremor Quantification Using Deep Learning for Improved Parkinson’s and Palliative Care Assessment (Master’s Thesis) |
2024 | Eduardo Rendon |
Estimation of Human Poses with mmWave Radar Sensors (Master’s Thesis) |
2023 | Paul Zwiessele |
(Bachlor’s Thesis) |
2023 | Moritz Moss |
(Bachlor’s Thesis) |
2023 | Desar Mejdani | |
2022 | Philipp Dörfler | Comparison of Algorithms for Respiratory Information Extraction from Wearable Sensors
(Bachlor’s Thesis) |
Picture: TF FAU | FATHER&SUN