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Smart Sensors and Spectral Techniques in Human Movement Science

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  • Full or part time
    Dr D Vicinanza
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

About This PhD Project

Project Description

Research Group: Sound and Game Engineering (SAGE) Research Group
https://www.anglia.ac.uk/science-and-technology/research/our-research-institutes-and-groups/sound-and-game-engineering

Proposed supervisory team: Dr Domenico Vicinanza ([Email Address Removed])
https://www.anglia.ac.uk/science-and-technology/about/computing-and-technology/our-staff/domenico-vicinanza

Theme: Wireless sensors, data sonification, biomechanics and biomedical sciences

Summary of the research project:


Our approach is based on the idea of analysing human movement signals and their relations by translating them into audible waveforms and using the advance sound analysis and spectral techniques to distinguish, characterise and analyse their shapes, amplitudes and structural properties. This process is called data sonification, and one of the main tools to investigate the structure of the sound is the sonogram (sometimes also called a spectrogram). A sonogram is a visual representation of how the spectrum of a certain sound signal changes with time, and we can use sonograms to examine the phase relations between a large collection of variables without having to reduce the data. Spectral analysis is a particularly relevant tool in many scientific disciplines, for example in high-energy physics, where the interest lies in energy spectra, pattern and anomaly detections, and phase transitions.

Using a sonogram to examine the movement of multiple markers on the body in the frequency domain, we can obtain an individual and situation-specific representation of co-ordination between the major limbs, detect pattern and anomalies, and identify and study phase transitions in biomedical sciences.

Where you'll study: Cambridge
https://www.anglia.ac.uk/student-life/life-on-campus/cambridge-campus

Funding:


This project is self-funded. Details of studentships for which funding is available are selected by a competitive process and are advertised on our jobs website as they become available.

https://www24.i-grasp.com/fe/tpl_angliaruskin01.asp

Next steps:


If you wish to be considered for this project, you will need to apply for our Sound Engineering PhD. In the section of the application form entitled 'Outline research proposal', please quote the above title and include a research proposal.


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