Understanding the complexity of human movement through novel developments in vector coding

About this project

Vector coding (VC) is a non-linear data analysis technique that quantifies coordination and movement variability of human movement.

Aim one - To provide a step-by-step approach on necessary VC calculations and confirm all outcome measures were defined and calculated correctly.

Aim two - To devise a new coordination pattern classification. In addition to previous classifications, the significance of the new classification also offers researchers the opportunity to quantify the percentage each segment contributes to movement.

Aim three - To development new data visualisations that detail outcome measures from VC in a time-domain.

Impact to date – The above developments are recognised by the citation status and inclusion in recent manuscript methodologies. Further recognition is evident via invitations to deliver tutorials at international conferences, contribute to book chapters and developed research collaborations.

Aim four (on-going) – To develop an open-source package that provides a graphical user interface to support data processing, analysis, and visualisation of vector coding outcome measures. This will help researchers and clinicians will little experience of using coding software to quickly analyse research findings.

Lead researcher

Robert Needham

Senior Lecturer

Robert's research background is in the areas of sport and clinical biomechanics. The focus of his research is on the application of non-linear data analysis techniques to quantify movement coordination and coordination variability. Robert's rese…

Robert's profile

Associated researcher

Nachiappan CHOCKALINGAM

Professor Of Clinical Biomechanics

As Professor of Clinical Biomechanics, I direct the Movement Analysis Laboratory and lead the biomechanics team and research at Staffordshire University. I am also an Affiliate Professor at the Faculty of Health Sciences, University of Malta

Nachiappan's profile
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