WatchOS Summer Term 2021

Supervised Bachelor’s and Master’s Theses

• 2020 – Development of an Upload/Download Function for Documents and Images in Care Documentation – Esmir Smajlovic – B.Sc.
• 2021 – Investigation of a Hybrid Application in the Context of Nursing – Samaneh Kheradi – M.Sc.
• 2022 – Development of a Web Application for Data Analysis in Dementia Diagnostics Using Machine Learning – Andreas Heinz – M.Sc.
• 2022 – Age-Specific User Interface Design – Hannah Theis – M.Sc.
• 2022 – Eye-Tracking-Based Interaction Analysis for the Optimization of a Mobile Application – Anika Degreif – M.Sc.
• 2022 – Development of a Human Motion Analysis Application for Real-Time Classification of Sequential Data Streams – Dominic Boersch – M.Sc.
• 2022 – Development of Activity Suggestions for the Care Documentation of Dementia Patients – Jonas Stark – B.Sc.
• 2022 – Development of a Visualization Tool for Classified Sensor Data Streams from Smartwatches in the Context of Machine Learning – Haci Dölek – B.Sc.
• 2023 – Urban Data Platform as Added Value for Citizens – Yasmina Tajja – M.Sc.
• 2023 – Activity Classification Analysis of Machine Learning Models – Annalena Gracanin – B.Sc.
• 2023 – Development of an Active Machine Learning System Including a watchOS App for Human Activity Recognition in Dementia Diagnostics – Lukas Bröning – M.Sc.
• 2023 – Digitalization Concept and Implementation with Special Focus on Workforce Efficiency for a Sun, Beauty & Care Studio – Tobias Clemens Plankl – M.Sc.
• 2023 – Integration and Evaluation of Machine Learning Algorithms for Sensor Data Classification on WearOS Smartwatches – Mark Fries – M.Sc.
• 2024 – Workflow Automation for Efficient On-Demand Distribution of Sensitive Data in the Finance Sector – Rahul Thiruthinmel Premnavas – M.Sc.
• 2024 – Exploring the Viability of Real-Time Classification for Semi-Automated Nursing Documentation – Leon Samuel Eberhard Martin – M.Sc.
• 2024 – Implementation of a Software Application for Automated Activity Recognition in the Context of Machine Learning – Yassine Chakir – B.Sc.
• 2025 – Experimental Analysis Comparing Different Google Pixel Watch Versions in the Context of Machine-Learning-Based Activity Recognition – Daria Gütlich – M.Sc.
• 2025 – Prevention of Pressure Ulcers in Bedridden Patients Through Machine-Based Movement Analysis – Farah Tajja – B.Sc.

Publications

• Dr. Sergio Staab, Prof. Dr.-Ing. Ludger Martin – INFODOQ: An Online-Based Application for Transparent Care Documentation in Assisted Living Communities – National Journal for Assisted Living Communities, Issue No. 7, November 2018, bit.ly/3dHPkBA
• Dr. Sergio Staab, Prof. Dr.-Ing. Ludger Martin – An Information Platform for the Use of Assisted Living and Care Groups – 18th German Congress for Health Services Research, Berlin, October 2019, DOI: 10.3205/19dkvf017
• Dr. Sergio Staab, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Increased Acceptance in the Interface Development of Nursing Documentation Software – 16th Annual International Conference on Information Technology & Computer Science, Athens, May 2020, bit.ly/2TecN46
• Dr. Sergio Staab, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – An Experiment on Software Quality Analysis and Reengineering in the Care Sector – 22nd Workshop on Software Reengineering & Evolution, Paderborn, September 2020
• Dr. Sergio Staab, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Measuring and Evaluation of the Results of UI Re-Engineering in the Nursing Field – 23rd International Conference on Human-Computer Interaction, Washington DC, USA, July 2021
• Dr. Sergio Staab, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Evaluation of the Results of UI Re-Engineering – 17th International Conference on Mobile Web and Intelligent Information Systems, Rome, Italy, August 2021
• Dr. Sergio Staab, Prof. Dr.-Ing. Ludger Martin – INFODOQ Information Platform – 56th Annual Conference of the German Society for Social Medicine and Prevention, Leipzig, September 2021
• Dr. Sergio Staab, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Recognition of Usual Similar Activities of Dementia Patients via Smartwatches Using Supervised Learning – 2021 IEEE International Conference on Progress in Informatics and Computing (PIC-2021), Shanghai and Tampere, December 2021
• Dr. Sergio Staab, Prof. Dr.-Ing. Ludger Martin – Movement Recognition to Analyze Disease-Related Changes in Motor Skills of Dementia Patients – 5th International Conference on Intelligent Human Systems Integration (IHSI 2022), Venice, Italy, February 2022
• Dr. Sergio Staab, Prof. Dr.-Ing. Ludger Martin – Recognition of Arm Positions of Dementia Patients via Smartwatches Using Supervised Learning – 20th International Conference e-Society, Porto, Portugal, March 2022
• Dr. Sergio Staab, Lukas Bröning, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Live Activity Recognition in Dementia Patients with Smartwatch Sensor Technology Using Long Short-Term Memory – 24th International Conference on Human-Computer Interaction (HCII 2022), Gothenburg, Sweden, July 2022
• Maren Hassemer, Edmond Cudjoe, Janina Dohn, Claudia Kredel, Yannika Lietz, Prof. Dr. Johannes Luderschmidt, Lisa Mohr, Dr. Sergio Staab – Recognition of Similar Habits Using Smartwatches and Supervised Learning – Intelligent Systems Conference (IntelliSys), Amsterdam, Netherlands, September 2022
• Dr. Sergio Staab, Simon Krissel, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Prediction Accuracy Comparison Between Deep Learning and Classification Algorithms in the Context of Human Activity Recognition – 8th International Conference on Human Interaction & Emerging Technologies (IHIET 2022), Nice, France, August 2022
• Dr. Sergio Staab, Prof. Dr.-Ing. Ludger Martin – Measurement and Evaluation of UI Re-Engineering Results in the Care of Dementia Patients – 24th Workshop on Software Reengineering & Evolution, Bad Honnef, Germany, May 2022
• Dr. Sergio Staab, Prof. Dr.-Ing. Ludger Martin, Anika Degreif – UI Re-Engineering of a Mobile Documentation Software in the Care Sector – 18th International Conference on Mobile Web and Intelligent Information Systems, Rome, Italy, August 2022
• Dr. Sergio Staab, Lukas Bröning, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Activity Recognition Over Temporal Distance Using Supervised Learning in the Context of Dementia Diagnostics – Mensch und Computer, Darmstadt, Germany, September 2022
• Dr. Sergio Staab, Lukas Bröning, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Performance Comparison of Motion-Related vs. Acoustic Sensor Technology in Human Health Monitoring – International Conference on Information Technology for Social Good, Limassol, Cyprus, September 2022
• Dr. Sergio Staab, Lukas Bröning, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Automated Documentation of Nearly Identical Movements in Dementia Diagnostics – International Conference on Connected Health (IEEE/ACM), Washington D.C., USA, November 2022
• Dr. Sergio Staab, Simon Krissel, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Recognition Models for Distribution and Out-of-Distribution of Human Activities – International Workshop on e-Health Pervasive Wireless Applications and Services, Thessaloniki, Greece, October 2022
• Dr. Sergio Staab, Lukas Bröning, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Recognition Model for Activity Classification in Everyday Movements in the Context of Dementia Diagnostics (Cooking) – 6th International Conference on Intelligent Human Systems Integration, Venice, Italy, February 2023
• Dr. Sergio Staab, Lukas Bröning, Prof. Dr. Johannes Luderschmidt, Prof. Dr.-Ing. Ludger Martin – Live Classification of Similar Arm Motion Sequences Using Smartwatches – 25th International Conference on Human-Computer Interaction (HCII 2023), Copenhagen, Denmark, July 2023
• Dr. Sergio Staab, Vincent Abt, Henning Schmid, Prof. Dr. Johannes Luderschmidt, Mark Wetter, Prof. Dr.-Ing. Ludger Martin – Classification of Nursing Care Activities Using Smartwatches – 6th International Conference on Activity and Behavior Computing, Nakatsu and Kitakyushu, Japan, May 2024