Author

Maximilian Burzer

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#machine learning Book Open access Jun 2026

BayaHAR: Lightweight Bayesian Few-Shot User Adaptation for On-Device Personalized Human Activity Recognition

BayaHAR is presented, a gradient-free framework that repurposes pretrained HAR classifiers as Prototypical Networks using prior prototypes that preserve zero-shot performance while regularizing adaptation, and enables efficient and robust on-device personalization of preexisting HAR classifiers.

Maximilian Burzer, T. Riedel, Michael Beigl et al. · Proceedings of the 2026 ACM... · 1 citation

#human-computer interacti... Preprint Sep 2026

NeuroClick: Preserving Surgeon Autonomy through Hands-Free Earable Tooth-Click Control in Neurosurgery

This work introduces earables as a direct, hands-free control platform for neurosurgery using tooth-click input and develops a real-time recognition pipeline whose classifier achieved a median macro F1-score of 98.6% under leave-one-subject-out cross-validation.

Jonas Hummel, Maximilian Burzer, Clara Sayffaerth et al. · 0 citations