Transient biometrics, a new concept for biometric recognition, is introduced in this paper. A traditional perspective of biometric recognition systems concentrates on biometric characteristics that are as constant as possible (such as the eye retina), giving accuracy over time but at the same time resulting in resistance to their use for non-critical applications due to the possibility of misuse. In contrast, transient biometrics is based on biometric characteristics that do change over time aiming at increased acceptance in noncritical applications. We show that the fingernail is a transient biometric with a lifetime of approximately two months. Our evaluation datasets are available to the research community.

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When human actors interact with virtual objects the result is often not convincing to a third party viewer, due to incongruities between the actor and object positions. In this study we aim to quantify the magnitude and impact of the errors that occur in a bimanual interaction, that is when an actor attempts to move a virtual object by holding it between both hands. A three stage framework is presented which firstly captures the magnitude of these interaction errors, then quantifies their effect on the relevant third party audience, and thirdly assesses methods to mitigate the impact of the errors. Findings from this work show that the degree of error was dependent on the size of the virtual object and also on the axis of the hand placement with respect to the axis of the interactive motion. In addition, actor hand placement outside and away from the object surface was found to affect the visual plausibility considerably more than when the actor's hands were within the object boundaries. Finally, a method for automatic adaptation of the object size to match the distance between the actor's hands gave a significant improvement in the viewers' assessment of the scene plausibility.

This paper presents our initial work on collection of recordings and related metadata with a view to the creation of digital library content for analysis of stylistic characteristics in Irish traditional music. We focus on ornamentation as this is a decisive stylistic determinant in Irish traditional music. The digital library contains a collection of audio recordings of prominent Irish flute players and metadata related to these recordings, such as manual annotation of onsets and offsets, identity of notes and ornaments, information related to performers and performers' style and make and type of instrument used.