We have developed a novel authentication mechanism, H4Plock (pronounced “Hap-lock”), that leverages gestural input and tactile feedback to defend against casual observation attacks. Users enter up to four on-screen gestures based on receiving tactile prompts, in the form of vibrations, from the mobile device. These prompts inform the user as to which gestures should be entered. The style of vib...

Upwelling indices are commonly calculated using wind stress measurements [1]. They describe the physical process which causes upwelling but may not accurately predict the presence or absence of cold, nutrient rich, upwelled water reaching the surf zone. Cold, nutrient-rich, upwelled water plays an important role in surf zone ecosystems and therefore needs to be quantified. Here a daily coastal ...

This paper presents a method for identifying and matching objects within an image scene. Recognition of this type is becoming a promising field within computer vision with applications in robotics, photography, and security. This technique works by extracting salient features, and matching these to a database of pre-extracted features to perform a classification. Localization of the classified ...

This paper presents a dual approach to the study of breath sounds in singing, consisting of an acoustic analysis of breath sounds, and development of an automatic breath detection system. Previouswork on automatic breath detection were based on relatively simple features that were postulated to be relevant to the detection. In contrast, this study starts with a detailed acoustic analysis of bre...

In this paper, we explore the use of local feature histograms for view-based recognition of free-form objects from range images. Our approach uses a set of local features that are easy to calculate and robust to partial occlusions. By combining them in a multidimensional histogram, we can obtain highly discriminative classi ers without having to solve a segmentation problem. The system achieves...