Articles producció científicaEnginyeria Electrònica, Elèctrica i Automàtica

Driver Activity Monitoring Based On Modulated Frequency Selective Surface and Millimeter-Wave Radar

  • Datos identificativos

    Identificador:  imarina:9450067
    Autores:  Morabet F; Lazaro A; Lazaro M; Villarino R; Girbau D
    Resumen:
    In-cabin wireless sensors are vital for enhancing road safety and enabling autonomous vehicle technologies. Current vehicles use internal sensors to detect seat belt status, occupant presence, and driver behaviors. Early detection of inattentiveness or erratic driving can significantly reduce accident risks. In this context, this work presents a novel driver activity monitoring system based on a modulated Frequency Selective Surface (FSS), which is read by means of a millimeter-wave Doppler radar for detecting driver head movements. The proposed system offers a non-invasive, privacy-preserving approach by modulating the FSS at two distinct frequencies, enabling precise detection of key head gestures. By focusing on only two modulated frequencies instead of monitoring the entire head and its surrounding area, the system significantly reduces computational complexity and enhances noise immunity, which is essential for in-vehicle applications, where vibrations play an important role. This reduction also simplifies hardware requirements and enables faster, real-time processing, making it highly suitable for integration into Advanced Driver Assistance Systems (ADAS) and vehicle safety monitoring applications. The system aims to distinguish between the driver’s attention and non-attention states. Experimental evaluations demonstrate the system’s effectiveness in achieving this goal while providing lower hardware complexity compared to traditional approaches. By continuously monitoring driver head movements, the proposed system facilitates timely, proactive interventions to mitigate risks and enhance overall road safety.
  • Otros:

    Enlace a la fuente original: https://ieeexplore.ieee.org/document/10909217
    Referencia de l'ítem segons les normes APA: Morabet F; Lazaro A; Lazaro M; Villarino R; Girbau D (2025). Driver Activity Monitoring Based On Modulated Frequency Selective Surface and Millimeter-Wave Radar. Ieee Sensors Journal, (), -. DOI: 10.1109/jsen.2025.3544644
    Referencia al articulo segun fuente origial: Ieee Sensors Journal.
    DOI del artículo: 10.1109/jsen.2025.3544644
    Año de publicación de la revista: 2025-01-01
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
    Fecha de alta del registro: 2026-02-09
    Autor/es de la URV: Girbau Sala, David / Lázaro Guillén, Antonio Ramon / Lázaro Martí, Marc / Morabet, Farid / Villarino Villarino, Ramón Maria
    Departamento: Enginyeria Electrònica, Elèctrica i Automàtica
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Morabet F; Lazaro A; Lazaro M; Villarino R; Girbau D
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Química, Physics, applied, Nutrição, Medicina veterinaria, Medicina ii, Materiais, Matemática / probabilidade e estatística, Interdisciplinar, Instruments & instrumentation, Instrumentation, Engineering, electrical & electronic, Engenharias iv, Engenharias iii, Engenharias ii, Engenharias i, Electrical and electronic engineering, Ciências biológicas ii, Ciências biológicas i, Ciência da computação, Biotecnología, Astronomia / física
    Direcció de correo del autor: farid.morabet@urv.cat, marc.lazaro@urv.cat, marc.lazaro@urv.cat, antonioramon.lazaro@urv.cat, david.girbau@urv.cat, ramon.villarino@urv.cat
  • Palabras clave:

    Real-time processing
    Non-invasive monitoring
    Millimeter-wave radar
    In-cabin sensors
    Frequency selective surface (fss)
    Driver head movement detection
    Driver attention detection
    Affordable and clean energy
    Advanced driver assistance systems (adas)
    Electrical and Electronic Engineering
    Engineering
    Electrical & Electronic
    Instrumentation
    Instruments & Instrumentation
    Physics
    Applied
    Química
    Nutrição
    Medicina veterinaria
    Medicina ii
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Ciências biológicas ii
    Ciências biológicas i
    Ciência da computação
    Biotecnología
    Astronomia / física
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