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Emotion Recognition for Intelligent Human Computer Interaction

  • Full or part time
    Dr H Meng
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

Emotion is a complex thing for human beings. It can reflect the mental and cognitive state of the person. Automatic detection of the emotions from facial expression, speech, written text in social media, body movement, gesture, bio signals such as brainwave (EEG), and heart-rate can provide accurate information about the mental state of the person. It can be used by the doctors for clinical applications like depression, autism, pain, etc. It also can be used in intelligent human computer interaction systems for robots, games and interactive films, etc.
In the project, we will develop deep learning based artificial intelligent systems for recognising human emotions based on multiple modalities. The developed algorithms will be applied for intelligent human computer interaction systems. It will be evaluated based on both accuracy and implementation speed for practical applications.
The students with good mathematical knowledge (e.g. statistics, machine learning theory) and strong programming skills (e.g. MATLAB, Python, etc. ) will be desirable.

Funding Notes

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: View Website. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)

How good is research at Brunel University London in General Engineering?

FTE Category A staff submitted: 63.45

Research output data provided by the Research Excellence Framework (REF)

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