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arXiv · 2604.04832

When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes

Freek Hens·Amirhossein Sadough·Aleksa Bokšan·Mahyar Shahsavari·Mohammad Mahdi Dehshibi
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Abstract

Surface electromyography (sEMG) sensors are widely used in human-computer interaction, yet the failure of a single sensor can compromise system usability. We propose a methodological framework for implementing a fail-safe mechanism in multi-sensor sEMG systems. Using arm sEMG recordings of rock-paper-scissors gestures, we extracted hand-crafted features and quantified class separability via the maximum Fisher discriminant ratio (FDR). A multi-layer perceptron validated our approach, consistent with prior findings and physiological evidence. Systematic sensor ablations and FDR analysis produced a ranking of crucial versus replaceable sensors. This ranking informs robust device design, sensor redundancy, and reliability in clinical and practical applications.

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Freek Hens, Amirhossein Sadough, Aleksa Bokšan, Mahyar Shahsavari, Mohammad Mahdi Dehshibi. 2026-04-06. When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes. https://doi.org/10.1080/17445760.2026.2660727

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