Eva Dorschky
Dr.-Ing. Eva Dorschky
Hello!
I am a postdoc at the Machine Learning and Data Analytics Lab at FAU. I am currently leading the Sports Analytics group and contributing to the BioMAC group and EmpkinS CRC. My research interests are in the field of physics-informed machine learning and optimal control.
Beyond this, my special interest lies in the application of AI for climate change mitigation. I am currently teaching the Green AI seminar in which we look into approaches to combat climate change using AI and the development of environmentally friendly and sustainable algorithms.
Since 02/2022 |
Research Group Leader Machine Learning and Data Analytics Lab, FAU |
10/2022 | Dr.-Ing. in Computer Science Friedrich-Alexander-University Erlangen-Nuernberg |
05/2017 – 10/2022 | Research Associate Machine Learning and Data Analytics Lab, FAU |
08/2014 – 05/2017 | Research Associate Pattern Recognition Lab, FAU |
10/2012 – 08/2014 | Masters of Science in Electrical Engineering Friedrich-Alexander-University Erlangen-Nuernberg |
10/2011-04/2012 | Research Internship Industrial Research Limited, Wellington, New Zealand |
10/2008 – 10/2012 | Bachelor of Science in Electrical Engineering Friedrich-Alexander-University Erlangen-Nuernberg |
2024
The Influence of Gamification on Motivation and Cardiac Variables in Soccer
29th Annual Congress of the European College of Sport Science (Glasgow, Scotland, UK, 2. July 2024 - 5. July 2024)
In: Book of Abstracts of the 29th Annual Congress of the European College of Sport Science 2024
URL: https://www.ecss.mobi/DATA/CONGRESSES/GLASGOW_2024/DOCUMENTS/2024_BOA_Web.pdf
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A digital twin to overcome long-time challenges in photovoltaics
In: Joule 8 (2024), p. 1-17
ISSN: 2542-4351
DOI: 10.1016/j.joule.2023.12.010
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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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Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations
In: Frontiers in Bioengineering and Biotechnology 12 (2024)
ISSN: 2296-4185
DOI: 10.3389/fbioe.2024.1285845
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Step Length and Gait Speed Estimation using A Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms
In: IEEE Journal of Biomedical and Health Informatics (2024)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2024.3454824
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2023
Plug-and-Play Sparse Inertial Motion Tracking With Sim-to-Real Transfer
In: IEEE Sensors Letters 7 (2023), Article No.: 7004904
ISSN: 2475-1472
DOI: 10.1109/LSENS.2023.3307122
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Optimal Control and Machine Learning in Biomechanics: Hybrid Models for Inertial Sensor-based Gait Analysis and Virtual Footwear Testing (Dissertation, 2023)
URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/21325
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Perspective on “in the wild” movement analysis using machine learning
In: Human Movement Science 87 (2023), Article No.: 103042
ISSN: 0167-9457
DOI: 10.1016/j.humov.2022.103042
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EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors
In: Sensors 23 (2023), Article No.: 6565
ISSN: 1424-8220
DOI: 10.3390/s23146565
URL: https://www.mdpi.com/1424-8220/23/14/6565
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2022
How many sensors are enough? Trajectory optimization using sparse inertial sensor sets
9th World Congress of Biomechanics 2022 Taipei (Taipei, 10. July 2022 - 14. July 2022)
URL: https://www.youtube.com/watch?v=TznVCgK4DF0
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2021
Machine Learning from Biomechanical SimulaIons for an "in the Wild" Movement Analysis
6th International Congress on Complex Systems in Sports (ICCSS) (Mainz, Germany, 15. September 2021 - 17. September 2021)
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Trajectory Optimization of a 3D Musculoskeletal Model with Inertial Sensors
XXVIII Congress of the International Society of Biomechanics (ISB) (Online, 25. July 2021 - 29. July 2021)
URL: https://www.mad.tf.fau.de/files/2021/07/nitschke_isb_2021_abstract.pdf
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Prediction of the effect of midsole stiffness and energy return using trajectory optimisation
15th biennial Footwear Biomechanics Symposium (Online, 21. July 2021 - 23. July 2021)
In: Footwear Science 2021
DOI: 10.1080/19424280.2021.1917684
URL: https://www.mad.tf.fau.de/files/2023/05/FBS_2021_SoftvsEnergy_Submission_AOM_Declaration.pdf
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2020
CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data
In: Frontiers in Bioengineering and Biotechnology 8 (2020), p. 1-14
ISSN: 2296-4185
DOI: 10.3389/fbioe.2020.00604
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Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics
In: Scientific Reports (2020), Article No.: 17655
ISSN: 2045-2322
DOI: 10.1038/s41598-020-73856-w
URL: https://www.nature.com/articles/s41598-020-73856-w
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2019
Optimal control simulation predicts effects of midsole materials on energy cost of running
In: Computer Methods in Biomechanics and Biomedical Engineering (2019)
ISSN: 1025-5842
DOI: 10.1080/10255842.2019.1601179
URL: https://www.mad.tf.fau.de/files/2019/08/201904_CMBBE_Dorschky.pdf
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Estimation of Gait Kinematics and Kinetics from Inertial Sensor Data Using Optimal Control of Musculoskeletal Models
In: Journal of Biomechanics (2019)
ISSN: 0021-9290
DOI: 10.1016/j.jbiomech.2019.07.022
URL: https://www.mad.tf.fau.de/files/2019/08/201908_JBiomech_Dorschky.pdf
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Turning a corner in predictive musculoskeletal simulations of gait using implicit dynamics
Dynamic Walking 2019 (Canmore, Alberta, 3. June 2019 - 6. June 2019)
In: 14th Annual Dynamic Walking Conference 2019 2019
URL: https://www.mad.tf.fau.de/files/2019/05/Nitschke_Dynamic_Walking.pdf
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2018
A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait
In: Computer Methods in Biomechanics and Biomedical Engineering 21 (2018), p. 521 - 531
ISSN: 1025-5842
DOI: 10.1080/10255842.2018.1490954
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Optimal Control Simulation of a 2D Biomechanical Model for Sensor-Based Gait Analysis
Summer School "Humans in Motion" (Heidelberg, 23. September 2018 - 28. September 2018)
URL: https://www.mad.tf.fau.de/files/2018/10/2018_09_18_Nitschke_HumansInMotion.pdf
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2016
Predicting the Effects of Midsole Materials on Running Using Optimal Control Simulation
Dynamic Walking 2016 (Holly, Michigan, 4. June 2016 - 7. June 2016)
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Blood glucose level prediction based on support vector regression using mobile platforms
38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Orlando, Florida, USA, 16. August 2016 - 19. August 2016)
In: 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2016
DOI: 10.1109/EMBC.2016.7591358
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Reymann-EMBC-BGL.pdf
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Unobtrusive Real-time Heart Rate Variability Analysis for the Detection of Orthostatic Dysregulation
2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) (San Francisco, CA, 14. June 2016 - 17. June 2016)
In: IEEE (ed.): 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN) 2016
DOI: 10.1109/BSN.2016.7516257
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Richer-BSN-URH.pdf
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Blind Path Obstacle Detector using Smartphone Camera and Line Laser Emitter
International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW) (Vila Real, Portugal, 1. December 2016 - 3. December 2016)
DOI: 10.1109/TISHW.2016.7847770
URL: https://www.mad.tf.fau.de/files/2017/06/2016-Saffoury-BPO.pdf
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2015
A framework for early event detection for wearable systems
International Symposium on Wearable Computers (Osaka)
In: Proceedings of the 2015 ACM International Symposium on Wearable Computers 2015
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Predictive Musculoskeletal Simulation of Uphill and Downhill Running
20th Annual Congress of the European College of Sport Science (Malmö - Schweden, 24. June 2015 - 27. June 2015)
In: Book of Abstracts of the 20th Annual Congress of the European College of Sport Science 2015
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Inertial Sensor-Based Approach for Shot/Pass Classification During a Soccer Match
KDD Workshop on Large-Scale Sports Analytics 2015 (Sydney, 10. August 2015 - 13. August 2015)
In: SIGKDD (ed.): 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2015
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