6 papers
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…
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…
CHOMP: Multimodal Chewing Side Detection with Earphones
Jonas Hummel, Maximilian Burzer, Felix Schlotter +6
Chewing side preference (CSP) has been identified both as a risk factor for temporomandibular disorders (TMD) and behavioral manifestation. Despite TMDs affecting roughly one third…
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…
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…
OpenEarable ExG: Open-Source Hardware for Ear-Based Biopotential Sensing Applications
Philipp Lepold, Tobias Röddiger, Tobias King +3
While traditional earphones primarily offer private audio spaces, so-called "earables" emerged to offer a variety of sensing capabilities. Pioneering platforms like OpenEarable hav…