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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2604.04832 |
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| _version_ | 1866914550763225088 |
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| author | Hens, Freek Sadough, Amirhossein Bokšan, Aleksa Shahsavari, Mahyar Dehshibi, Mohammad Mahdi |
| author_facet | Hens, Freek Sadough, Amirhossein Bokšan, Aleksa Shahsavari, Mahyar Dehshibi, Mohammad Mahdi |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_04832 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes Hens, Freek Sadough, Amirhossein Bokšan, Aleksa Shahsavari, Mahyar Dehshibi, Mohammad Mahdi Human-Computer Interaction 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. |
| title | When One Sensor Fails: Tolerating Dysfunction in Multi-Sensor Prototypes |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2604.04832 |