When one sensor fails: tolerating dysfunction in multi-sensor prototypes

doi:10.1080/17445760.2026.2660727

When one sensor fails: tolerating dysfunction in multi-sensor prototypes

2026-01-01

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Mohammad Mahdi Dehshibi *

DOI：10.1080/17445760.2026.2660727

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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.

Keywords:

Sensor ablation

fault tolerance

gesture recognition

wearable devices

class separability

When one sensor fails: tolerating dysfunction in multi-sensor prototypes

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