Field: Biomedical engineering

Location: St Lucia campus

Type of student: Volunteer/extra-curricular

Brief synopsis: [Joint with Prof. Udantha Abeyratne -- RESEARCH Intensive (RDL*) ] Can we use vision (or other sensing -- eg induction or hall effect sensing) to track adult breathing? An initial direction is affine video tracking of features (natural, such as hair, or artificial, such as lines drawn using a wax pencil) on the chest of a patient. By calculating and tracking the affine deformations of the lines between these features, we hope to recover the breathing rate (Hz) and a qualitative measure of breathing strength (nb, this could be extended via regression to prior test cases to be a quantitative measures such as air exchange volume). This project should also consider this in comparison to other proposed methods for this, such as Eulerian Video Magnification [, tracking using a RGBD camera [Kinect 2], etc.

Prerequisite skills: METR4202 or ELEC3004

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Dr Surya Singh

Senior Lecturer
School of Information Technology and Electrical Engineering