About Me

I'm a PhD student at TECO since 2024, working on the OpenEarables and the JuBot Project. During my Masters's thesis, I enhanced OpenEarable by developing OpenEarable ExG, an extension that enables the sensing of biopotentials such as EEG and EOG.

Since then, my current research focuses on harnessing the rich potential of biopotentials using wearables, to gain deeper insights into brain and body activity.

If you are interested in a thesis working on biopotential-sensing for health and HCI (EEG, EOG, EMG), embedded machine learning, wearables, innovative iOS / iPadOS apps, even if there's none listed below, please just give me a shout!

Short CV

since 2024 PhD Candidate at TECO
2021 – 2024 M.Sc. Computer Science at Karlsruhe Institute of Technology (KIT)
2017 – 2021 B.Sc. Computer Science at Karlsruhe Institute of Technology (KIT)

Research Interests

Earables
Sensing Biopotentials with Wearables
Human-Computer-Interaction
HealthTech

Projects

Open Theses

Eye Tracking with innovative EOG-Glasses

Job Supervisions

Python Software Developer

Philipp Lepold

Karlsruhe Institute of Technology (KIT) Institute of Telematics / TECO
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe, Germany
Building 07.07, 2nd floor
Room 214

+072160841709

lepold@teco.edu

Philipp Lepold's publications

2025

Haptic Biofeedback for Wakeful Rest: Does Stimulation Location Make a Difference?
Lee, J.; Filpe, M.; Lepold, P.; Röddiger, T.; Beigl, M.
2025. Proceedings of the 2025 ACM International Symposium on Wearable Computers, 83–90, Association for Computing Machinery (ACM). doi:10.1145/3715071.3750427

Demonstrating OpenEarable 2.0: An AI-Powered Ear Sensing Platform
Röddiger, T.; Zitz, V.; Hummel, J.; Küttner, M.; Lepold, P.; King, T.; Paradiso, J. A.; Clarke, C.; Beigl, M.
2025. CHI EA ’25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, Art.-Nr.: 713, Association for Computing Machinery (ACM). doi:10.1145/3706599.3721161

OpenEarable 2.0: Open-Source Earphone Platform for Physiological Ear Sensing
Röddiger, T.; Küttner, M.; Lepold, P.; King, T.; Moschina, D.; Bagge, O.; Paradiso, J. A.; Clarke, C.; Beigl, M.
2025. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9 (1), Art.-Nr.: 16. doi:10.1145/3712069

earEOG via periauricular electrodes to facilitate eye tracking in a natural headphone form factor
King, T.; Knierim, M.; Lepold, P.; Clarke, C.; Gellersen, H.; Beigl, M.; Röddiger, T.
2025. Scientific Reports, 15 (1), 32437. doi:10.1038/s41598-025-16839-z

2024

OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications
Lepold, P.; Röddiger, T.; King, T.; Kunze, K.; Maurer, C.; Beigl, M.
2024. UbiComp ’24: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 916 – 920, Association for Computing Machinery (ACM). doi:10.1145/3675094.3678480

OpenEarable 1.4: Dual Microphones Earpiece to Capture In-Ear and Outer-Ear Audio Signals
Röddiger, T.; Stuchbury-Wass, J.; Ciliberto, M.; Lepold, P.; Beigl, M.
2024. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, 930 – 933, Association for Computing Machinery (ACM). doi:10.1145/3675094.3678483

OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications
Lepold, P.; Röddiger, T.; King, T.; Kunze, K.; Maurer, C.; Beigl, M.
2024. doi:10.48550/arXiv.2410.06533