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BRAVE: Bio Responsive Alert VEst

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Computers Helping People with Special Needs (ICCHP 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14751))

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Abstract

The paper describes a low-cost system incorporating galvanic skin response, heart rate, and respiratory rate sensors, allowing for emotion classification based on the valence-arousal model. The system lays the groundwork for an innovative device capable of detecting fear during aggressive situations and automatically triggering an SOS. Tests in a controlled environment by visually stimulating emotions demonstrate the reliability of the low-cost sensors.

Partially supported by the Dipartimento di Elettronica, Informazione e Bioingegneria of the Politecnico di Milano, Milano, Italy.

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Author information

Authors and Affiliations

  1. Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy

    Fabio Salice, Andrea Masciadri & Sara Comai

  2. Department of Physics, Politecnico di Milano, Milan, Italy

    Elisa Magosso, Sofia Re & Marco Golino

Authors
  1. Fabio Salice
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  2. Elisa Magosso
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  3. Sofia Re
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  4. Marco Golino
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  5. Andrea Masciadri
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  6. Sara Comai
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Corresponding author

Correspondence to Sara Comai .

Editor information

Editors and Affiliations

  1. Johannes Kepler University, Linz, Austria

    Klaus Miesenberger

  2. Masaryk University, Brno, Czech Republic

    Petr Peňáz

  3. Tsukuba University of Technology, Tsukuba, Japan

    Makoto Kobayashi

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Salice, F., Magosso, E., Re, S., Golino, M., Masciadri, A., Comai, S. (2024). BRAVE: Bio Responsive Alert VEst. In: Miesenberger, K., Peňáz, P., Kobayashi, M. (eds) Computers Helping People with Special Needs. ICCHP 2024. Lecture Notes in Computer Science, vol 14751. Springer, Cham. https://doi.org/10.1007/978-3-031-62849-8_50

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  • DOI: https://doi.org/10.1007/978-3-031-62849-8_50

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-62848-1

  • Online ISBN: 978-3-031-62849-8

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