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Intelligent human-computer interaction: system development and applications

The first generation of Artificial Intelligence (AI) research was rules-based and emulated classical logic to draw reasoned conclusions within a specific, narrowly defined problem domain. It was well suited to monitoring processes and improving efficiency. The second, current generation is largely concerned with sensing and perception, such as using deep-learning networks to analyse the contents of a video frame. A coming next generation will extend AI into areas that correspond to human cognition, such as interpretation and autonomous adaptation. Next-generation AI must be able to address novel situations and abstraction to automate ordinary human activities.

In this project, advanced next generation AI algorithms will be developed based on spiking neural network models for advanced human computer interaction systems. Spiking neuron models are from human neuroscientist after studying the architecture of the biological brain. These brain-like algorithms will simulate human brain functions like information encoding, storing, recall, reasoning and interfering. Complex connections and non-linear functions in the large scale neural network models can solve advanced AI problems. These algorithms will be used for human emotion recognition from multiple modalities such as facial expression, voice, music, touch, gesture, and biomedical signals like EEG signals. It will be then applied in advanced human computer interaction systems (e.g. robots, computer games, etc.) and health care applications. For example, the robots, equipped with emotion sensing, can understand human's behaviour and emotion, and can interact to human with human-like behaviour and emotion.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

  1. Contact the supervisor by email or phone to discuss your interest and find out if you woold be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
  2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
  3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

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: The UK Government is also offering Doctoral Student Loans for eligible 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%.