The goal of this research is to catalog the myriad of emotions that are experienced by people and to determine a person's state of mind by observing his or her behavior and drawing conclusions from those observations. Anger, sadness, fear, pleasure, disgust, surprise, and neutral are some of the facial emotion classes that may be recognized by utilizing facial expression recognition, often known as FER. Finding the database in the emotion by applying the Fluorescence‐activated cell sorting (FACS) action unit (AU), such as impression investigation, diagnosing depression and behavioral disorders, lying detection, and (hidden) emotion identification, among other things. A deep convolutional neural network (CNN) approach was used in order to realize the goal of recognizing different facial expressions. The technique that was recommended puts a significant focus on achieving a high degree of accuracy when determining the feelings that are communicated in live video footage.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Drivers’ Emotions’ Recognition Using Facial Expression from Live Video Clips in Autonomous Vehicles


    Beteiligte:
    Rajendran, Sathiyaraj (Herausgeber:in) / Sabharwal, Munish (Herausgeber:in) / Hu, Yu‐Chen (Herausgeber:in) / Dhanaraj, Rajesh Kumar (Herausgeber:in) / Balusamy, Balamurugan (Herausgeber:in) / Rameshtrh, Tumaati (Autor:in) / Sanampudi, Anusha (Autor:in) / Srijayanthis, S. (Autor:in) / Vijayakumarsvk, S. (Autor:in) / Vijayabhaskar (Autor:in)


    Erscheinungsdatum :

    29.05.2024


    Format / Umfang :

    20 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Passengers’ Emotions Recognition to Improve Social Acceptance of Autonomous Driving Vehicles

    Sini, Jacopo / Marceddu, Antonio Costantino / Violante, Massimo et al. | Springer Verlag | 2020


    Passengers’ Emotions Recognition to Improve Social Acceptance of Autonomous Driving Vehicles

    Sini, Jacopo / Marceddu, Antonio Costantino / Violante, Massimo et al. | BASE | 2020

    Freier Zugriff

    Deep Learning-Based Facial Expression Recognition System for Age, Gender, and Emotions

    Sheeba Joice, C. / Hitha Shanthini, S. / Chandru, R. et al. | Springer Verlag | 2024


    Emotion Recognition in Video Clips Using Simple and Extended Center Symmetric LBP

    Zahid, Zaki / Shaukat, Arslan / Khan, Rizwan Ahmed et al. | IEEE | 2019


    Facial expression recognition from video sequences: temporal and static modeling

    Cohen, I. / Sebe, N. / Garg, A. et al. | British Library Online Contents | 2003