Abstract
The purpose of this work is to quantify the symmetry in body motion, which is a common objective in medical research as is an important attribute that can provide valuable information concerning the wellbeing of a person. Body motion symmetry has been associated with many diseases and has been measured in many different ways throughout the literature. A novel, non-intrusive approach for quanitfying symmetry is proposed, employing computer vision techniques. The proposed methods can be utilised to provide quantitative estimates of symmetry in actions of clinical interest. In order to evaluate the proposed approach and metrics, experiments were performed both with phantom data and real data offering quantitative and qualitative analysis.
| Original language | English |
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| Qualification | Master of Science by Research (MSc(R)) |
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| Publication status | Accepted/In press - 31 Mar 2015 |
| Externally published | Yes |
Bibliographical note
Physical Location: This item is held in stock at Kingston University library.Keywords
- Pre-clinical and human biological sciences