Academic Staff

Philipp Lepold

Karlsruhe Institute of Technology (KIT)

Institute of Telematics / TECO

Vincenz-Prießnitz-Straße 1

76131 Karlsruhe, Germany

Building 07.07

Room 214

lepoldδteco.edu

+49 721 608-41709

Philipp Lepold

Profile

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

Job Supervisions

Theses

No open theses.

Topic Areas

Biopotential Sensing for Health and HCI (EEG, EOG, EMG)Embedded Machine LearningInnovative iOS / iPadOS apps that are related with any topic mentioned hereWearables

Publications

2025
🏆 Best Paper Nominee
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:10.1145/3715071.3750427Full textFull text of the publication as PDF document
🏆 Honorable Mention
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:10.1145/3712069Full textFull text of the publication as PDF document
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:10.1145/3675094.3678480Full textFull text of the publication as PDF document
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