Articles producció científicaEnginyeria Electrònica, Elèctrica i Automàtica

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

  • Dades identificatives

    Identificador:  imarina:9450067
    Autors:  Morabet F; Lazaro A; Lazaro M; Villarino R; Girbau D
    Resum:
    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.
  • Altres:

    Enllaç font original: https://ieeexplore.ieee.org/document/10909217
    Referència 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
    Referència a l'article segons font original: Ieee Sensors Journal.
    DOI de l'article: 10.1109/jsen.2025.3544644
    Any de publicació de la revista: 2025-01-01
    Entitat: Universitat Rovira i Virgili
    Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
    Data d'alta del registre: 2026-02-09
    Autor/s de la URV: Girbau Sala, David / Lázaro Guillén, Antonio Ramon / Lázaro Martí, Marc / Morabet, Farid / Villarino Villarino, Ramón Maria
    Departament: Enginyeria Electrònica, Elèctrica i Automàtica
    URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipus de publicació: Journal Publications
    Autor segons l'article: Morabet F; Lazaro A; Lazaro M; Villarino R; Girbau D
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Àrees temàtiques: 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
    Adreça de correu electrònic de l'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
  • Paraules clau:

    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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