Abstract Gait recognition is the process of identifying an individual by the manner in which they walk. Using gait as a biometric is a relatively new area of study, within the realms of computer vision. It has been receiving growing interest within the computer vision community and a number of gait metrics have been developed. The term gait recognition to signify the identification of... Gait recognition is the process of identifying an individual by the manner in which they walk. Using gait as a biometric is a relatively new area of study, within the realms of computer vision. It has been receiving growing interest within the computer vision community and a number of gait metrics have been developed. The term gait recognition to signify the identification of an individual from a video sequence of the subject walking. This does not mean that gait is limited to walking, it can also be applied to running or any means of movement on foot. While gait has several attractive properties as a biometric there are several confounding factors such as variations due to footwear, terrain, fatigue, injury, and passage of time. Examples of motion that are gaits include walking, running, jogging, and climbing stairs. Sitting down, picking up an object, and throwing and object are all coordinated motions, but they are not cyclic. Jumping jacks are coordinated and cyclic, but do not result in locomotion. The use of gait as a biometric for human identification is still young when compared to methods that use voice, finger prints, or faces. Read More Read Less

Abstract Play-Driven Design (PDD) is a design model aimed at drawing the user’s attention to a content website, involving them and leading them to spontaneous creation of content. For the PDD to provide meaningful experiences and engage personas, this text addresses some game design elements, suggesting an iterative application and an evolutionary perspective of web design projects. When applied, the model boosts... Play-Driven Design (PDD) is a design model aimed at drawing the user’s attention to a content website, involving them and leading them to spontaneous creation of content. For the PDD to provide meaningful experiences and engage personas, this text addresses some game design elements, suggesting an iterative application and an evolutionary perspective of web design projects. When applied, the model boosts new approaches for the site to connect with the user. Read More Read Less

Abstract Colonoscopy videos contain blurred, non-informative frame sequences due to the rapid movements of the endoscope during the exploration which need to be excluded to allow the expert physician to carry out his work in less time. In this paper two methods of artificial vision are proposed for the automated extraction of informative frames based on detectable characteristics of them. The first method allows... Colonoscopy videos contain blurred, non-informative frame sequences due to the rapid movements of the endoscope during the exploration which need to be excluded to allow the expert physician to carry out his work in less time. In this paper two methods of artificial vision are proposed for the automated extraction of informative frames based on detectable characteristics of them. The first method allows for frame sorting into informative and non-informative based on the number of contours detected in each frame. The second method makes use of the dense optical flux to determine the percentage of individual frame motion, for group the frames whit K-Means algorithm by your motion in three groups: mean motion (informative frame), large motion and little motion (non-informative frame). Both methods were successful in filtering out blurred frames from colonoscopy video samples with the first method outperforming the second, i.e., 76.7% accuracy versus 74.7%, respectively. Read More Read Less