This opportunity is now closed.

Funded PhD Opportunity

Sensing human emotion within pervasive environments.

Subject: Computer Science and Informatics


Summary

Sensor rich pervasive environments continue to emerge, driven by developments in the Internet of Things, providing evermore cost-effective off-the-shelf sensing solutions for continuous, unobtrusive monitoring of user habits and activities of daily living [1]. These technologies have been deployed within environments to learn behaviour patterns, to infer personalised needs or to assess wellbeing, and to facilitate timely support via targeted technology interventions [2].

Such technology offers particular opportunities to address the unmet needs of those people in society who find it difficult to self-management, self-assess and self-regulate important wellbeing factors, for example, people on the autism spectrum.

This project aims to investigate emerging machine learning approaches to support monitoring and interpretation of human emotion based on data that is opportunistically sensed [3] at time critical instances. A key challenge lies in interpreting these emotions within varying contexts, when presented with different levels of granularity owing to the richness of the available sensors.

The research will target emotions relating to stress and anxiety, to provide interventions that empower users to recognise and regulate stressful episodes. The research will investigate a range of environmental and wearable sensors to monitor key wellness factors via assessment of heart rate variability [4], in combination with Affective Computing techniques and important contextual factors (e.g. schedule, routine, dietary intake, deadlines, engagement with games, social media, etc.). The work will also look to make use of established intervention strategies for negative emotional state, such as guided parasympathetic breathing.

The core objectives of this research will focus upon:

(1) opportunistically sensing the onset of an environmental stressor;

(2) computational modelling of the emotional responses;

(3) investigating multimodal and multidimensional approaches to deliver targeted interventions.

A use case available to the project surrounds in-situ mobile assistive technology to support young people on the autism spectrum as they commence University. Transitioning from Secondary School to University is a significant period in a young person’s life, in particular, for people with autism, who report difficulties in self-regulation of emotion, adjustment to changes in environment and routine, and who often cannot clearly interpret or communicate their feelings [5].

This research aligns with research priorities identified by the Bamford Centre for Mental Health and Wellbeing Autism Research Hub and could leverage existing collaborations with Clinical Psychology networks across the Health Trusts. An identified route for participant engagement within the project exists via Ulster’s Student Support Centre. This proposal fits with the University’s strategic theme of Healthy Communities and closely aligns with the Pervasive Computing Research Group, focusing upon research within the areas of Activity Recognition, Behaviour Analysis and Affective Computing. The project benefits from access to a range of existing pervasive and wearable sensing technologies.

The supervisory team has expertise and experience in both the theory surrounding the work and its application to support people on the autism spectrum.


Essential criteria

  • To hold, or expect to achieve by 15 August, an Upper Second Class Honours (2:1) Degree or equivalent from a UK institution (or overseas award deemed to be equivalent via UK NARIC) in a related or cognate field.

Funding

    The University offers the following awards to support PhD study and applications are invited from UK, EU and overseas for the following levels of support:

    Vice Chancellors Research Studentship (VCRS)

    Full award (full-time PhD fees + DfE level of maintenance grant + RTSG for 3 years).

    This scholarship will cover full-time PhD tuition fees and provide the recipient with £15,000 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

    Vice-Chancellor’s Research Bursary (VCRB)

    Part award (full-time PhD fees + 50% DfE level of maintenance grant + RTSG for 3 years).

    This scholarship will cover full-time PhD tuition fees and provide the recipient with £7,500 maintenance grant per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

    Vice-Chancellor’s Research Fees Bursary (VCRFB)

    Fees only award (PhD fees + RTSG for 3 years).

    This scholarship will cover full-time PhD tuition fees for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

    Department for the Economy (DFE)

    The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £ 15,009 per annum for three years. EU applicants will only be eligible for the fee’s component of the studentship (no maintenance award is provided). For Non-EU nationals the candidate must be "settled" in the UK. This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the PhD researcher.

    Due consideration should be given to financing your studies; for further information on cost of living etc. please refer to: www.ulster.ac.uk/doctoralcollege/postgraduate-research/fees-and-funding/financing-your-studies


Other information


The Doctoral College at Ulster University


Reviews

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As Senior Engineering Manager of Analytics at Seagate Technology I utilise the learning from my PhD ever day

Adrian Johnston - PhD in Informatics

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Key dates

Submission deadline
Monday 18 February 2019

Interview Date
25 to 29 March 2019


Applying

Apply Online  


Campus

Jordanstown campus

Jordanstown campus
The largest of Ulster's campuses


Contact supervisor

Dr Mark Donnelly


Other supervisors

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