Samer Al Kork

Gait Recognition Based on Modified Phase Only Correlation

Clothing, carrying conditions, and other intra-class variations, also referred as ”covariates”, affect the performance of gait recognition systems. This paper proposes a supervised feature extraction method which is able to select relevant features for human recognition to mitigates the impact of covariates and hence improve the recognition performance. The proposed method is evaluated using CASIA Gait Database (Dataset B) and the experimental results suggest that our method yields attractive results.

Development of 3D Finite Element Model of Human Elbow to Study Elbow Dislocation and Instability

The mechanics of elbow dislocation and its stages of dislocation are complex and not well understood. Reconstructing a fall where someone lands on their hand is one of the most challenging problem in biomechanics. Current models which attempt to reconstruct falls usually focus on experimental kinematical conditions that cause the fall coupled with inverse dynamics to determine the joint and muscles forces [1,2] to provide on insight into the joint instability. Our hypothesis based on our experimental investigation is that the mechanism of posterior elbow dislocation is initiated at radial head where the ulna and coronoid fracture followed by anterior tearing of the joint capsule, lateral collateral ligament will then rupture followed by posterior medial collateral ligament rupture and then the medial collateral ligament peeling off the ulna. In this study we developed a quasi-static three-dimensional finite element of human elbow joint, and conducted several cadaveric studies to study elbow dislocation. The FE model is used to investigate how the ligaments, cartilages behave under different flexion, extension of the elbow. Dislocation is investigated as function of different loads and moments applied to the radius-ulna with arm being flexed and configured into a supination or pronation.Copyright

Intangible Cultural Heritage and New Technologies: Challenges and Opportunities for Cultural Preservation and Development

Intangible cultural heritage (ICH) is a relatively recent term coined to represent living cultural expressions and practices, which are recognised by communities as distinct aspects of identity. The safeguarding of ICH has become a topic of international concern primarily through the work of United Nations Educational, Scientific and Cultural Organization (UNESCO). However, little research has been done on the role of new technologies in the preservation and transmission of intangible heritage. This chapter examines resources, projects and technologies providing access to ICH and identifies gaps and constraints. It draws on research conducted within the scope of the collaborative research project, i-Treasures. In doing so, it covers the state of the art in technologies that could be employed for access, capture and analysis of ICH in order to highlight how specific new technologies can contribute to the transmission and safeguarding of ICH.