About Me


I am a PhD student under the supervision of Dr Aphrodite Galata and Prof Tim Cootes. My primarily research interests are in computer vison tasks such as Image-segmentation, Object detection, Face tracking and estimating facial behavioural state from images and videos

Estimating Driver State from Facial Features


Automated driving refers to the capability of a vehicle to handle a set of driving tasks normally performed by a human. This set of tasks ranges from individual manoeuvers such as emergency braking or obstacle avoidance in safety and driver assistance applications to handling all driving tasks that can be managed by a human driver in fully automated driving. Increasing levels of automation require the automated driving system to be aware of the cognitive and physiological state of the driver, for instance when handing over control to the driver is required, or when the driver wishes to take over control from the system. Further situations include medical emergencies, during which a driver may become incapacitated and unable to control the vehicle, requiring immediate action by the system.

The aims is to build a driver state estimation method capable of inferring cognitive and physical driver states based on both driving behaviour as well as on the driver’s facial appearance, cardiac, electro-dermal, respiratory and electro-muscular activity.

Education


  • Nov 2022
    -
    Oct 2018

    The University of Manchester

    PhD Student

    Reseach Area: Facial tracking, Emotion recognition in the wild

  • Oct 2017
    -
    Oct 2013

    The University of Manchester

    BSc Student

    Course: Computer Sciecne

Contact


Stopford Building, Oxford Road
Manchester, UK

farshid.rayhan@manchester.ac.uk (Official)

farshidrayhan57@gmail.com (personal only)

Kilburn Building, Oxford Road
Manchester, UK