We have seen a considerable shift in how people communicate from face to face to over technology such as skype. Such communications can include business meetings or social and family meetings with isolated elderly relatives. As these interactions are no longer in the same room, this can mean that cues which people rely on communication are lost or more difficult to identify. Such cues could indicate the importance that a speaker attributes to what they are saying or the roles that participants take in group interactions.
The motivation for this proposal is to combine intelligent approaches such as neural and fuzzy logic to recognise the affective state of the participants and from this feedback to the participants in the distant interaction to aid the communication. Such feedback will be in a form that is specific to the individual, easily understandable and can be acted upon by the participants involved. This proposal focuses on fuzzy logic to offer multimodal fusion and overcome ambiguity in the outputs from the neural system to recognize the emotional state of the user and from this offer feedback decisions. There are been research that combines fuzzy logic and neural networks to perform emotion recognition.
Duration: Full Time 3 years Fixed Term or Part Time 5 years Fixed Term
About the Centre/Department
The School of Computing, Electronics and Maths at Coventry University offers world-leaving research in computer science and informatics. Our strengths are in the fields of Distributed Systems, Computational Intelligence, Serious Games and Cybersecurity. Members of national and international teams, our professors, readers and senior academics work with industry to reach new heights of discovery in computer science creating innovations that benefit society and solve global problems. We are seeking top quality graduates to help us in this quest. Excellent supervision in a nurturing, vibrant research environment will be offered to successful candidates in order that they can reach their highest potential when pursuing the PhD programme.
Successful applicants will have: - A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average, or
- A Masters Degree in a relevant subject area will be considered as an equivalent. The Masters must have been attained with overall marks at merit level (60%). In addition, the dissertation or equivalent element in the Masters must also have been attained with a mark at merit level (60%).
- The potential to engage in innovative research and to complete the PhD within a prescribed period of study.
- Language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component).