3 citations · 4 across the 17 of their papers we have counts for
19 papers
Finger-to-Ear ECG: Systematic Evaluation of an Earbud-Based Cardiac Monitoring Approach
Philipp Lepold, Paula Breitling, Jonas Hummel +2
Ear-ECG enables unobtrusive cardiac monitoring, but existing approaches often struggle with low signal amplitudes and limited morphology preservation. We evaluate a finger-to-ear E…
NeuroClick: Preserving Surgeon Autonomy through Hands-Free Earable Tooth-Click Control in Neurosurgery
Jonas Hummel, Maximilian Burzer, Clara Sayffaerth +6
Neurosurgeons frequently interact with operating room (OR) technologies while sterility and occupied hands constrain control. We introduce earables as a direct, hands-free control…
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…
BayaHAR: Lightweight Bayesian 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…
CHOMP: Multimodal Chewing Side Detection with Earphones
Jonas Hummel, Maximilian Burzer, Felix Schlotter +7
Chewing-side preference (CSP) is a risk factor for temporomandibular disorders (TMDs) and a behavioral manifestation. Although TMDs affect roughly one-third of the global populatio…
Feasibility of In-Ear Single-Channel ExG for Wearable Sleep Monitoring in Real-World Settings
Philipp Lepold, Jonas Leichtle, Tobias Röddiger +1
Automatic sleep staging typically relies on gold-standard EEG setups, which are accurate but obtrusive and impractical for everyday use outside sleep laboratories. This limits appl…
WHAR Datasets: An Open Source Library for Wearable Human Activity Recognition
Maximilian Burzer, Tobias King, Till Riedel +2
The lack of standardization across Wearable Human Activity Recognition (WHAR) datasets limits reproducibility, comparability, and research efficiency. We introduce WHAR datasets, a…
HARNode: A Time-Synchronised, Open-Source, Multi-Device, Wearable System for Ad Hoc Field Studies
Philipp Lepold, Tobias Röddiger, Michael Beigl
Human activity recognition (HAR) research often lacks accessible, comprehensive field data. Commercial systems are rarely open source, hard to expand, and limited by issues like no…
UltrasonicSpheres: Localized, Multi-Channel Sound Spheres Using Off-the-Shelf Speakers and Earables
Michael Küttner, Valeria Zitz, Kathrin Gerling +2
We present a demo of UltrasonicSpheres, a novel system for location-specific audio delivery using wearable earphones that decode ultrasonic signals into audible sound. Unlike conve…
Haptic Biofeedback for Wakeful Rest: Does Stimulation Location Make a Difference?
Jueun Lee, Martin Flipe, Philipp Lepold +2
Wearable haptic interventions offer promising support for relaxation through slow, vibrotactile biofeedback. Despite their potential, current applications focus on stress-inducing…
Closed-Loop Rhythmic Haptic Biofeedback via Smartwatch for Relaxation and Sleep Onset
Jueun Lee, Dennis Moschina, Supraja Ramesh +3
We investigate the use of musically structured, closed-loop vibration patterns as a passive biofeedback intervention for relaxation and sleep initiation. By encoding rhythmic meter…
EarXplore: An Open Research Database on Earable Interaction
Jonas Hummel, Tobias Röddiger, Valeria Zitz +6
Interaction with sensor-augmented earphones, referred to as earables or hearables, represents a major area of earable research. Proximate to the head and reachable by hand, earable…
earEOG via Periauricular Electrodes to Facilitate Eye Tracking in a Natural Headphone Form Factor
Tobias King, Michael Knierim, Philipp Lepold +4
Eye tracking technology is frequently utilized to diagnose eye and neurological disorders, assess sleep and fatigue, study human visual perception, and enable novel gaze-based inte…
Heatables: Effects of Infrared-LED-Induced Ear Heating on Thermal Perception, Comfort, and Cognitive Performance
Valeria Zitz, Michael Küttner, Jonas Hummel +3
Maintaining thermal comfort in shared indoor environments remains challenging, as centralized HVAC systems are slow to adapt and standardized to group norms. Cold exposure not only…
SciEx: Benchmarking Large Language Models on Scientific Exams with Human Expert Grading and Automatic Grading
Tu Anh Dinh, Carlos Mullov, Leonard Bärmann +15
With the rapid development of Large Language Models (LLMs), it is crucial to have benchmarks which can evaluate the ability of LLMs on different domains. One common use of LLMs is…