Personal Information
Work Experience:
- 2015 - 2019: Software Engineer at Tecan, Wiesbaden
- 2015: Software Developer at Tecan Systems, Inc., San Jose, CA, USA
- 2012 - 2013: Software Test-Automation Engineer, Smiths Detection, Wiesbaden
Education:
- 2015 - 2018: Computer Science (M.Sc.) at University of Applied Sciences, Wiesbaden
- 2010 - 2014: Computer Science (B.Sc.) at University of Applied Sciences, Wiesbaden
Research Interests
- Human Motion Analysis
- Fusion of Computer Vision and Inertial Measurement Units
- Machine Learning
Project
Teaching Activities
Supervision of Master's Theses:
- Fitting Monocular Image to 3D Pose Models to Gait Analysis
- Point Cloud Data Analysis for Cruciate Ligament Rupture Using 3D Cameras
- Predicting Fatigue in Strength Training using Machine Learning
- Balancing Medical Human Pose Datasets using GANs
Supervision of Master Projects:
- Learn to Move Like a Pro in WS 19/20
Publications at HPI
2024
- A computer vision approach to continuously monitor fatigue during resistance training. Albert, Justin Amadeus; Arnrich, Bert in Biomedical Signal Processing and Control (2024). 89 105701.
2023
- Protocol for a Randomized Crossover Trial to Evaluate the Effect of Soft Brace and Rigid Orthosis on Performance and Readiness to Return to Sport Six Months Post-ACL-Reconstruction. Jahnke, Sonja; Cruysen, Caren; Prill, Robert; Kittmann, Fabian; Pflug, Nicola; Albert, Justin Amadeus; de Camargo, Tibor; Arnrich, Bert; Królikowska, Aleksandra; Kołcz, Anna; Reichert, Paweł; Oleksy, Łukasz; Michel, Sven; Kopf, Sebastian; Wagner, Michael; Scheffler, Sven; Becker, Roland in Healthcare (2023). 11(4)
2022
- PERSIST: A Multimodal Dataset for the Prediction of Perceived Exertion during Resistance Training. Albert, Justin Amadeus; Herdick, Arne; Brahms, Clemens Markus; Granacher, Urs; Arnrich, Bert in Data (2022). 8(1)
- Unsupervised Activity Recognition Using Trajectory Heatmaps from Inertial Measurement Unit Data. Konak., Orhan; Wegner., Pit; Albert., Justin; Arnrich., Bert (2022). 304–312.
2021
- Using Machine Learning to Predict Perceived Exertion During Resistance Training With Wearable Heart Rate and Movement Sensors. Albert, Justin; Herdick, Arne; Brahms, Clemens Markus; Granacher, Urs; Arnrich, Bert (2021).
- Data Augmentation of Kinematic Time-Series From Rehabilitation Exercises Using GANs. Albert, Justin; Glöckner, Pawel; Pfitzner, Bjarne; Arnrich, Bert (2021). 1–6.
2020
- Will You Be My Quarantine: A Computer Vision and Inertial Sensor Based Home Exercise System. Albert, Justin; Zhou, Lin; Gloeckner, Pawel; Trautmann, Justin; Ihde, Lisa; Eilers, Justus; Kamal, Mohammed; Arnrich, Bert (2020). (Vol. 14)
- Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study. Albert, Justin; Owolabi, Victor; Gebel, Arnd; Brahms, Markus Clemens; Granacher, Urs; Arnrich, Bert in MDPI Sensors (2020). 20(18)
2017
- Geometric Algebra Computing for Heterogeneous Systems. Hildenbrand, D.; Albert, Justin; Charrier, P.; Steinmetz, C. in Advances in Applied Clifford Algebras (2017). 27 599–620.