“Sensing human motion, emotion and environment for social and human-machine interaction”
This inaugural lecture is focused on the use of creative technologies in sensing and reconstructing human motion (including facial expression, human motion, gesture and behaviour) and emotion with the applications in both social and human-machine interaction.
Hui Yu is Professor of Visual Computing at the University of Portsmouth. He obtained his PhD from Brunel University London in 2010. His PhD research funded by EPSRC Dorothy Hodgkin Award led to the Best PhD Thesis Prize award at Brunel University in 2010 gaining a solid grounding in 3D reconstruction and processing research. He joined the School of Creative Technologies at the University of Portsmouth as a Lecturer in October 2012 and was subsequently promoted to Senior Lecturer in 2014 and Professor in 2018.
Professor Yu’s research concerns both theoretical and practical frameworks for visual data processing and reconstruction with the application to social and human-machine interaction.
He is particularly interested in providing solutions to tracking, reconstructing and understanding human actions, emotions and visual scenes from RGB/RGBD visual captures, cognitive signals (EEG) and biometrical signals (EMG) for more natural human-machine interactions in emerging areas such as VR/AR applications.
Professor Yu’s research involves and develops knowledge and technologies in machine learning, artificial intelligence (AI), computer vision/graphics and creative computing (3D/4D modelling).
He has been awarded an Industrial Fellowship project by the Royal Academy of Engineering. Professor Yu is the investigator on grants from a diverse range of funding sources including the EPSRC, EU FP7, RAEng, Royal Society, Innovate UK and Industry.
He has founded and leads the Visual Computing Group at the University of Portsmouth. He has published over 88 peer-reviewed journal and conference papers. Professor Yu has been invited to give over 9 Keynote presentations and served as the General Chair for 7 international conferences. He serves as Associate Editor of IEEE Transactions on Human-Machine Systems and Neurocomputing journal.
Refreshments and a transcript of the lecture and will be available in the Richmond Building Atrium following the lecture.
Booking is essential via Eventbrite.