Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles

Real-Time Driver Depression Monitoring for Accident Prevention in Smart Vehicles

The alarming rise in road accidents underscores the urgent need for safer vehicles equipped with technologies to mitigate accidents and resulting injuries. Research in this area must consider driver fatigue and depression as they are among significant contributing factors to road accidents. This pap...

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Bibliographic Details
Main Authors: Malik Hasnain Ahmed, Yousaf Saeed, Abid Mehmood, Muhammad Saeed, Naeem Ahmed, Qazi Mudassar Ilyas, Sajid Iqbal, Naushad Abid
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Smart vehicles
transfer learning
depression detection
accident prevention
Online Access:https://ieeexplore.ieee.org/document/10542135/

Internet

https://ieeexplore.ieee.org/document/10542135/

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