ULTRACEPT Sandpit Session: Computer Vision Based Human Motion Analysis for Healthcare

To aid and support the continued collaboration and knowledge exchange of the ULTRACEPT researchers, the consortium hosts online quarterly ‘Sandpit Sessions’. The aim of these sessions is to provide researchers an opportunity to share their work in an informal forum where they can raise and discuss issues and challenges in order to gain support and feedback from the group.

University of Lincoln (UoL) researcher Dr Miao Yu presented at the ULTRACEPT Sandpit Session on the 20th June, 2023 on the topic: Computer Vision Based Human Motion Analysis for Healthcare.

ULTRACEPT: Ultra-layered perception with brain-inspired information processing for vehicle collision avoidance

Computer Vision Based Human Motion Analysis for Healthcare

  • Date: 20 June 2023
  • Time: UK 11:00; Germany 12:00; Argentina 07:00; Malaysia 18:00; China 18:00; Japan 19:00.
  • Facilitators: Miao Yu, Senior Lecturer, University of Lincoln (presenter)

                                 Shigang Ye, Senior Lecturer, University of Lincoln (chair)

  • Location: MS Teams
  • Please note: We will be recording this session to share with those project researchers who are not able to attend, but this will only be shared within the consortium and will not be publicly accessible.
Sandpit Schedule
UK TimeItemPresenter/s
11:00 -11:05Arrival and welcomeShigang Yue
11:05 – 12:00Presentation Computer Vision based human motion analysis for healthcareMiao Yu
12:00 -12.25DiscussionAll attendees
12:25 -12:30Final comments Shigang Yue/Miao Yu

Dr Yu is a Senior Lecturer at the School of Computer Science in the University of Lincoln. He worked as a research associate for the research project “Signal Processing Solutions in a Networked Battlespace” (funded by the EPSRC) in the Aeronautical and Automotive Engineering Department, Loughborough University from 2013 to 2017. Prior to it, he obtained his PhD in the School of Electrical and Electronic Engineering, Loughborough University with the PhD thesis title “Computer vision based techniques for fall detection with application towards assisted living”. Dr Miao’s research interests lie in developing algorithms in statistical signal processing, image/video processing, machine learning and data/knowledge modelling, with applications in objects detection and tracking, behaviour recognitions and abnormal detection for healthcare.

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