Human behavior and emotion are two important elements that correlate with each other. Data from road safety research showed that driving impairment caused by unstable emotion may lead to road accidents and cause injury. This research aims to investigate the driver’s emotion while driving and relates with the driving comfort and safety. Therefore, a device called Emotion Recognition Action Savvy (ERAS) has been invented. By measuring the eyes aspect ratio and developing the algorithm for face recognition, this smart device can detect human emotion while driving. The system is connected to the car Global Positioning System (GPS) and detects the face for every 20-min. The system also provides a connection to interactive mediums such as music apps and navigation. A front camera is installed at the driver seat to monitor the face changes and provide variable suggestion solutions on a screen. Drivers are free to choose the solutions based on their emotion at that particular time. The smart system aims to improve the interaction between cars and humans, reduce accidents risk to emotion driving, save lives and enhance road safety.


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    Titel :

    Development of Real-Time Emotion Recognition System Based on Machine Learning Algorithm


    Weitere Titelangaben:

    Lect.Notes Mechanical Engineering


    Beteiligte:
    Hassan, Mohd Hasnun Arif (Herausgeber:in) / Ahmad (a) Manap, Zulkifli (Herausgeber:in) / Baharom, Mohamad Zairi (Herausgeber:in) / Johari, Nasrul Hadi (Herausgeber:in) / Jamaludin, Ummu Kulthum (Herausgeber:in) / Jalil, Muhammad Hilmi (Herausgeber:in) / Mat Sahat, Idris (Herausgeber:in) / Omar, Mohd Nadzeri (Herausgeber:in) / Azizan, Mohd Amzar (Autor:in) / Al Fatih, Muhammad Ismail (Autor:in)


    Erscheinungsdatum :

    02.10.2021


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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