Research has shown that Computer Assisted Learning (CAL) as a method to teach speech and language is more effective for children with Intellectual Disability (ID) or Autism Spectrum Disorder (ASD) compared to conventional methods. The ability of a child to speak and communicate vastly improves their quality of life and decreases frustration and challenging behaviour. However, the currently available virtual tutor programmes have a synthesised face and voice which may not engage the child to as great as degree as possible. This project aims to improve the user experience and learning potential of the child by personalising the virtual tutor with the face and voice of a family member or carer instead of a synthesised face and voice. The novel aspect of this project is in developing an artificial intelligence based virtual tutoring system which incorporates an online evaluation strategy based on lip-motion analysis and eye-gaze analysis of the end user. These evaluations assist the system to adapt itself into a reinforcement learning model with an objective to maximize the knowledge acquisition from the end user perspective. This research can inform the development of future CAL programmes to incorporate personalised tutors, online assessment and behavioural analysis to identify the interaction and potential increases in learning ability of the end users, particularly with ID or ASD.
Dr Ram Prasad Krishnamoorthy: Bio
Ram received his Ph.D degree in Computer Science and Telecommunication Engineering from Universidad Autonoma de Madrid (UAM), Spain, in 2015. He obtained a three year Marie Curie Fellowship for his doctoral research work, and was an Early Stage Researcher in the Marie-Curie-ITN-Project “Bayesian Biometrics for Forensics” (BBfor2). Further, he also obtained the European Union funding through the project “Biometrics Evaluation and Testing” (BEAT) to complete his doctoral dissertation with UAM. He was also a visiting researcher at University of Twente, The Netherlands, and Halmstad University, Sweden, in 2012 and 2013 respectively under the Marie Curie Fellowship. Currently, he is a DOCTRID-Marie Curie Postdoctoral Research Fellow at Centre for Image Processing and Analysis (CIPA), Dublin City University (DCU), Ireland, under the Marie Curie ASSISTID EU CO-FUND programme. His research interests and areas of expertise include Image Analysis, Pattern Recognition, Machine Learning, Computer Vision, Algorithm Design, and Biometrics with particular emphasis on fingerprint and signature verifications. Before pursuing his doctoral research, he was working as a software engineer for Geodesic Limited, Bangalore, India. He obtained his Masters degree in Computer Science from Chennai Mathematical Institute (CMI), India, in 2008.