Human Gesture recognition- Allocated 20-21

FYP/MASTERS: This project is focused on detecting and analysing non-verbal communication by means of gestures.  The project will investigate the learning of the gestures in a gesture database such as https://20bn.com/datasets/jester.  The human skeleton can be extracted using a system such as Google’s Blazepose https://google.github.io/mediapipe/solutions/pose#web.  The research will be to process the temporal skeleton information … Read more

Autonomous Drone Racing (Allocated 20-21)

FYP LEVEL: visual guidance of an autonomous drone.  Using a Tello drone https://www.ryzerobotics.com/tello This project will be to use computer vision on a drone to identify way points and complete a circuit.  The project will use https://gobot.io/.  This project would suit a Final Year student with an interest in Go and robotics.

Non-verbal communications in 2-person conversations (Allocated for 2020-21)

Masters Level: This project is concerned with the recognition of non-verbal communications two person communication e.g. via video conference.  This project will use the SEWA dataset https://db.sewaproject.eu/ as a reference and learn to analyse interpersonal communication.  This project would suit someone interested in non-verbal signalling in human to human and human to avatar conversations.