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  Published Paper Details:

  Paper Title

Intelligent Vehicle Safety With An Emotion Recognition System

  Authors

  Ganesh Khekare,  Manda Ashish Reddy,  Karanam Sree Harshavardhan

  Keywords

Recognition System, Intelligent Systems, Smart Vehicle, Road Safety, Emotion Identification, Music

  Abstract


This research work introduces a new system for cars that can understand how the driver feels using facial recognition technology. It combines this with picking music from Spotify to match the driver's mood. The system watches the driver's face with a camera and uses a smart program to figure out if they're happy, sad, or other emotions. It then picks songs that match how they feel. Additionally, the system can suggest things like rest stops or calming exercises based on the driver's emotions. This new way of using technology in cars aims to make driving safer and more enjoyable. A camera in the car watches the driver's face as they drive. A computer program quickly looks at the video and figures out the driver's emotions by recognizing facial expressions like smiles or frowns. It can tell if the driver feels happy, sad, angry, surprised, or just neutral. Once it knows how the driver feels, it talks to Spotify or a similar music service to choose songs that fit the mood. This makes sure the music matches the driver's emotions, making driving more personal and enjoyable.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2405395

  Paper ID - 259731

  Page Number(s) - d687-d701

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.39313

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Ganesh Khekare,  Manda Ashish Reddy,  Karanam Sree Harshavardhan,   "Intelligent Vehicle Safety With An Emotion Recognition System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.d687-d701, May 2024, Available at :http://www.ijcrt.org/papers/IJCRT2405395.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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