19 papers
Reassessing the Feasibility of PPG-Based Non-Invasive Blood Glucose Level Estimation
Supraja Ramesh, Markus Neufeld, Michael Küttner +2
Non-invasive blood glucose level (BGL) estimation from photoplethysmography (PPG) holds great promise for wearable health monitoring, but results across studies are hard to compare…
Characterizing In-the-Wild Personal Listening Device Use to Inform Earable Application Design
Supraja Ramesh, Jonas Hummel, Silvia Becker +6
Ear-worn devices are evolving from audio-playback tools into sensing platforms for health, interaction, and context-awareness. Yet, earable systems are typically designed and evalu…
WHAR Arena: Benchmarking the State of the Art in Efficient Wearable Human Activity Recognition
Maximilian Burzer, Tobias King, Till Riedel +2
Deep learning has become the dominant paradigm in Wearable Human Activity Recognition (WHAR), yet progress is obscured by a comparability crisis. Results are often reported using i…
Uncertainty-Aware (Un)Supervised Few-Shot User Adaptation for On-Device Personalized Human Activity Recognition
Maximilian Burzer, Till Riedel, Michael Beigl +1
Sensor-based Human Activity Recognition (HAR) models often degrade on unseen users due to domain shifts caused by individual movement patterns and sensor placement. Practical weara…
pcbGPT: Automatic PCB Schematic Synthesis from Natural Language Requirements
Tobias King, Steven Kehrberg, Michael Beigl +1
Translating natural-language hardware requirements into correct printed circuit board (PCB) schematics remains difficult in embedded, IoT, and wearable development. Designers must…
EarResp-ANS : Audio-Based On-Device Respiration Rate Estimation on Earphones with Adaptive Noise Suppression
Michael Küttner, Valeria Zitz, Supraja Ramesh +2
Respiratory rate (RR) is a key vital sign for clinical assessment and mental well-being, yet it is rarely monitored in everyday life due to the lack of unobtrusive sensing technolo…