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Using Artificial Intelligence to understand hand eye co-ordination in humans.


   Department of Computer Science

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  Dr David Hunter  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The UKRI CDT in Artificial Intelligence, Machine Learning and Advanced Computing (AIMLAC) aims at forming the next generation of AI innovators across a broad range of STEMM disciplines. The CDT provides advanced multi-disciplinary training in an inclusive, caring and open environment that nurture each individual student to achieve their full potential. Applications are encouraged from candidates from a diverse background that can positively contribute to the future of our society. 

The UK Research and Innovation (UKRI) fully-funded scholarships cover the full cost of tuition fees, a UKRI standard stipend of £15,921 per annum and additional funding for training, research and conference expenses. The scholarships are open to UK and international candidates.

Closing date for applications is 12 February 2022. For further information on how to apply please click here and select the "UKRI CDT Scholarship in AIMLAC" tab.

Project Overview

Research theme: T2 - biological, health and clinical sciences T3 - novel mathematical, physical, and computer science approaches

This project will involve creating Virtual Reality environments to track peoples’ hand and eye motions while they interact with objects. Data from these experiments will be used to design and train an artificial neural network that can learn to accurately replicate hand and eye motions. Over the past decades researchers have shown training neural networks that mimic known features of human physiology can teach us much about how human visual processing functions and develops. This project will look at Reaching and Grasping, a highly complex visual task that requires close coordination of eye gaze and motor control. Unlike many other gaze related visual tasks, reaching and grasping requires top-down intent driven control of visual processing and therefore allows us to study how high-level intent drives low-level feature-driven visual processing. The Higher Education Funding Council for Wales Research Capital Funding has recently invested in a new eXtended Realities laboratory in Aberystwyth that will allow us to accurately track both eye gaze (saccades) and hand motion.

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