A probabilistic analysis of the biometrics menagerie existence: case study in fingerprint data

Until recently the use of biometrics was restricted to high-security environments and criminal identification applications, for economic and technological reasons. However, in recent years, biometric authentication has become part of daily lives of people. The large scale use of biometrics has shown that users within the system may have different degrees of accuracy. Some people may have trouble authenticating, while others may be particularly vulnerable to imitation. Recent studies have investigated and identified these types of users, giving them the names of animals: Sheep, Goats, Lambs, Wolves, Doves, Chameleons, Worms and Phantoms. The aim of this study is to evaluate the existence of these users types in a database of fingerprints and propose a new way of investigating them, based on the performance of verification between subjects samples. Once introduced some basic concepts in biometrics and fingerprint, we present the biometric menagerie and how to evaluate them.

Beat that word : How listeners integrate beat gesture and focus in multimodal speech discourse

Peer reviewed

Beat that Word : How Listeners Integrate Beat Gesture and Focus in Multimodal Speech Discourse

Peer reviewed

The Material Dynamics of a London-French Blog: A Multimodal Reading of Migrant Habitus

Through a fine-grained reading of a London-French blog, this article aims to shed light on the lived experience of the French community in London. The ethnosemiotic conceptual framework brings together ethnographic and semiotic schools of thought, focusing in particular on Pierre Bourdieu’s concept of habitus and Gunther Kress’s multimodal social semiotic analytical model. Habitus is broken down into its material manifestations of habitat, habit and habituation, all displayed in the blog and revealing of the blogger’s identity and positioning within the migration setting. As all modes are considered to be of equal semiotic potential, equivalent emphasis is placed on the multiple modes of meaning-making present in the blog, such as layout, colour, typography and language. By examining the dynamic relationships between blogger and audience, subjectivity and objectivity, on-line and on-land habitus, and intermodal dynamics themselves, through the prism of multimodality, hidden facets of the blogger’s cultural identity and sense of community belonging within the diasporic context begin to materialise.

Multimodal Education for Very Young Learners

Invited Plenary Speaker

Deep Head Pose: Gaze-Direction Estimation in Multimodal Video

In this paper we present a convolutional neuralnetwork (CNN)-based model for human head pose estimation inlow-resolution multi-modal RGB-D data. We pose the problemas one of classification of human gazing direction. We furtherfine-tune a regressor based on the learned deep classifier. Next wecombine the two models (classification and regression) to estimateapproximate regression confidence. We present state-of-the-artresults in datasets that span the range of high-resolution humanrobot interaction (close up faces plus depth information) data tochallenging low resolution outdoor surveillance data. We buildupon our robust head-pose estimation and further introduce anew visual attention model to recover interaction with theenvironment. Using this probabilistic model, we show thatmany higher level scene understanding like human-human/sceneinteraction detection can be achieved. Our solution runs inreal-time on commercial hardware

Multimodal attention system for an interactive robot

[EN]Social robots are receiving much interest in the robotics community. The most important goal for such robots lies in their interaction capabilities. An attention system is crucial, both as a filter to center the robot’s perceptual resources and as a mean of letting the observer know that the robot has intentionality. In this paper a simple but flexible and functional attentional model is described. The model, which has been implemented in an interactive robot currently under development, fuses both visual and auditive information extracted from the robot’s environment, and can incorporate knowledge-based influences on attention.

Clinton Multimodal (U. S. 30 Mississippi River Bridge) Study, 2003

The purpose of this memorandum is to document the benefit-cost analysis of the river crossing concept alternatives described in the "Concept Alternatives Technical Memo." Benefit-cost studies are designed to measure, in dollars, the potential positive or negative impacts of large-scale construction projects. The concept alternatives analyzed include improvements to the Union Pacific Railroad (UPRR) River Crossing and the U.S. Highway 30 (U.S. 30) River Crossing.

La explotación de las artes en la promoción de la Marca Finlandia: análisis crítico del discurso multimodal

En este trabajo de fin de máster se investiga qué impacto tuvo la Marca Finlandia en el uso de las artes finlandesas en Focus – economía y tecnología, una revista publicada por el Ministerio de Asuntos Exteriores de Finlandia durante los años más profundos de la crisis económica 2008-2013. En 2008 el Ministro de Asuntos Exteriores de entonces, Alexander Stubb, designó una delegación para desarrollar la marca país de Finlandia, fruto de un proceso del que se presentó en 2010 un documento llamado Tehtävä Suomelle! (¡Misión para Finlandia!), cuyo objetivo fue concretar el diseño y las funciones de la Marca Finlandia. Este trabajo se enfoca en la utilización del arte y de artistas finlandeses en el material creado para apoyar la promoción de la imagen del país y, en última instancia, su competividad económica. Para tener en cuenta el contexto del material objeto de estudio, presentamos el concepto de la marca país y distintos planteamientos teóricos para su realización. Siendo una estrategia estatal polémica, recorremos los puntos de crítica más importantes sobre esta práctica promocional. También nos familiarizamos con la historia de la promoción nacional antes de introducir el presente proyecto, la Marca Finlandia, y sus objetivos. En la parte teórica se presentan los conceptos relevantes para el estudio: el discurso y su análisis crítico, enfatizando su capacidad ideológica para mantener y crear relaciones del poder muy a menudo desiguales. Ya que nuestro material de estudio empírico está compuesto de publicaciones físicas con dimensiones textuales, visuales y hápticas, nuestro método de investigación es observar críticamente estas relaciones desde la perspectiva multimodal. En la parte empírica del trabajo analizamos la composición de la comunicación multimodal del material imprimido, producido por el Ministerio de Asuntos Exteriores de Finlandia y sus socios de cooperación. Las revistas anuales Focus– Economía y tecnología se enfocan en noticias y artículos sobre los sectores de la economía y tecnología, pero también incluyen contenido sobre el diseño, la música, la moda, la arquitectura y la danza finlandeses. En nuestro análisis recorremos los campos verbales y visuales utilizados en las revistas para investigar de qué manera se presentaban las artes finlandesas en la operación de Marca Finlandia. Detectamos representaciones textuales, resaltaciones visuales y la combinación de ambos, lo que servía a las metas preterminadas y la imagen requerida por la delegación diseñadora de la marca país. Las revistas compartían el discurso en común que corría paralelo con los objetivos de la Marca Finlandia, que a su vez se puede ver como parte del discurso hegemónico neoliberal en general.

Interaction techniques with novel multimodal feedback for addressing gesture-sensing systems

Users need to be able to address in-air gesture systems, which means finding where to perform gestures and how to direct them towards the intended system. This is necessary for input to be sensed correctly and without unintentionally affecting other systems. This thesis investigates novel interaction techniques which allow users to address gesture systems properly, helping them find where and how to gesture. It also investigates audio, tactile and interactive light displays for multimodal gesture feedback; these can be used by gesture systems with limited output capabilities (like mobile phones and small household controls), allowing the interaction techniques to be used by a variety of device types. It investigates tactile and interactive light displays in greater detail, as these are not as well understood as audio displays. Experiments 1 and 2 explored tactile feedback for gesture systems, comparing an ultrasound haptic display to wearable tactile displays at different body locations and investigating feedback designs. These experiments found that tactile feedback improves the user experience of gesturing by reassuring users that their movements are being sensed. Experiment 3 investigated interactive light displays for gesture systems, finding this novel display type effective for giving feedback and presenting information. It also found that interactive light feedback is enhanced by audio and tactile feedback. These feedback modalities were then used alongside audio feedback in two interaction techniques for addressing gesture systems: sensor strength feedback and rhythmic gestures. Sensor strength feedback is multimodal feedback that tells users how well they can be sensed, encouraging them to find where to gesture through active exploration. Experiment 4 found that they can do this with 51mm accuracy, with combinations of audio and interactive light feedback leading to the best performance. Rhythmic gestures are continuously repeated gesture movements which can be used to direct input. Experiment 5 investigated the usability of this technique, finding that users can match rhythmic gestures well and with ease. Finally, these interaction techniques were combined, resulting in a new single interaction for addressing gesture systems. Using this interaction, users could direct their input with rhythmic gestures while using the sensor strength feedback to find a good location for addressing the system. Experiment 6 studied the effectiveness and usability of this technique, as well as the design space for combining the two types of feedback. It found that this interaction was successful, with users matching 99.9% of rhythmic gestures, with 80mm accuracy from target points. The findings show that gesture systems could successfully use this interaction technique to allow users to address them. Novel design recommendations for using rhythmic gestures and sensor strength feedback were created, informed by the experiment findings.

This Is a Gorgeous-looking Movie”: Multimodal Interplay between Commentary and Subject Materials in Movie Review Entertainment

The present thesis is a study of movie review entertainment (MRE) which is a contemporary Internet-based genre of texts. MRE are movie reviews in video form which are published online, usually as episodes of an MRE web show. Characteristic to MRE is combining humor and honest opinions in varying degrees as well as the use of subject materials, i.e. clips of the movies, as a part of the review. The study approached MRE from a linguistic perspective aiming to discover 1) whether MRE is primarily text- or image-based and what the primary functions of the modes are, 2) how a reviewer linguistically combines subject footage to her/his commentary?, 3) whether there is any internal variation in MRE regarding the aforementioned questions, and 4) how suitable the selected models and theories are in the analysis of this type of contemporary multimodal data. To answer the aforementioned questions, the multimodal system of image—text relations by Martinec and Salway (2005) in combination with categories of cohesion by Halliday and Hasan (1976) were applied to four full MRE videos which were transcribed in their entirety for the study. The primary data represent varying types of MRE: a current movie review, an analytic essay, a riff review, and a humorous essay. The results demonstrated that image vs. text prioritization can vary between reviews and also within a review. The current movie review and the two essays were primarily commentary-focused whereas the riff review was significantly more dependent on the use of imagery as the clips are a major source of humor which is a prominent value in that type of a review. In addition to humor, clips are used to exemplify the commentary. A reviewer also relates new information to the imagery as well as uses two modes to present the information in a review. Linguistically, the most frequent case was that the reviewer names participants and processes lexically in the commentary. Grammatical relations (reference items such as pronouns and adverbs and conjunctive items in the riff review) were also encountered. There was internal variation to a considerable degree. The methods chosen were deemed appropriate to answer the research questions. Further study could go beyond linguistics to include, for instance, genre and media studies.

El papel de la gestualidad en la estructuraci?n multimodal del discurso [recurso electr?nico]

Durante los ?ltimos a?os el an?lisis del discurso oral ha tomado un lugar importante en los estudios de la ling??stica y sobretodo en investigaciones enfocadas en el discurso en el aula. Su naturaleza en el habla permite obtener un gran abanico de elementos por analizar que marca la diferencia con el an?lisis del discurso escrito. Por otro lado, en la comunicaci?n oral el hablante est? pendiente de lo que dice con las palabras, pero no controla de la misma manera los gestos. Aspectos como la expresi?n del rostro, la orientaci?n corporal, la direcci?n de la mirada, etc., enfatizan lo que se quiere expresar en el discurso verbal. As?, los enunciados son bimodales ya que utilizan tanto la modalidad auditivo-vocal como la viso-gestual. Sin embargo, este estudio caracteriza este tipo de comunicaci?n on l t rm no ?mult mo l? o l o qu n l s urso or l l orpus que se analiza hay un canal extra de comunicaci?n como lo es el uso del tablero. Esta exploraci?n le da valor a los gestos en el ?mbito pedag?gico, pues el lenguaje no verbal puede reforzar o sustituir la expresi?n verbal y puede llegar a tener una gran injerencia en la construcci?n del sentido que los alumnos elaboran en torno a la comunicaci?n transmitida por el profesor. Teniendo en cuenta que la lecci?n es una unidad textual, esta investigaci?n busca observar y analizar c?mo los gestos contribuyen a la estructuraci?n del discurso en el aula, es decir, cu?l ser?a la marcaci?n multimodal de la estructura de la lecci?n. Se exploran dos temas centrales: el an?lisis del discurso en el aula y la gestualidad que acompa?a al habla. Para ello se utiliz? el modelo de an?lisis del discurso oral de Sinclair y Coulthard (1992) que tiene como elementos principales la lecci?n, las transacciones y los intercambios, y el modelo de an?lisis de gesticulaciones de McNeill (1998, 2005) que propone cinco dimensiones de gesticulaciones: gestos r?tmicos, gestos de?cticos, gestos ic?nicos, gestos metaf?ricos y gestos cohesivos.Se busc? determinar el papel de los gestos como marcadores o reforzadores de la estructura del discurso oral de una clase de Matem?ticas en ingl?s, dada por un docente nativo para quinto grado en un contexto educativo biling?e. Se hizo una grabaci?n de esa clase de 45 minutos, se procedi? a transcribirla en un formato de dos columnas: Profesor (con los enunciados del profesor) y Estudiantes (con las intervenciones de los estudiantes). Se observ? que el estudio del discurso oral en el aula se enriquece cuando se le a?aden elementos de an?lisis gestual en el mismo. Esta investigaci?n invita a indagar m?s sobre el papel de estos dos componentes de la interacci?n (discurso oral y gestualidad) tanto en el aula como en otras situaciones comunicativas

A contribution to semantic description of images and videos: an application of soft biometrics

Humans have a high ability to extract visual data information acquired by sight. Trought a learning process, which starts at birth and continues throughout life, image interpretation becomes almost instinctively. At a glance, one can easily describe a scene with reasonable precision, naming its main components. Usually, this is done by extracting low-level features such as edges, shapes and textures, and associanting them to high level meanings. In this way, a semantic description of the scene is done. An example of this, is the human capacity to recognize and describe other people physical and behavioral characteristics, or biometrics. Soft-biometrics also represents inherent characteristics of human body and behaviour, but do not allow unique person identification. Computer vision area aims to develop methods capable of performing visual interpretation with performance similar to humans. This thesis aims to propose computer vison methods which allows high level information extraction from images in the form of soft biometrics. This problem is approached in two ways, unsupervised and supervised learning methods. The first seeks to group images via an automatic feature extraction learning , using both convolution techniques, evolutionary computing and clustering. In this approach employed images contains faces and people. Second approach employs convolutional neural networks, which have the ability to operate on raw images, learning both feature extraction and classification processes. Here, images are classified according to gender and clothes, divided into upper and lower parts of human body. First approach, when tested with different image datasets obtained an accuracy of approximately 80% for faces and non-faces and 70% for people and non-person. The second tested using images and videos, obtained an accuracy of about 70% for gender, 80% to the upper clothes and 90% to lower clothes. The results of these case studies, show that proposed methods are promising, allowing the realization of automatic high level information image annotation. This opens possibilities for development of applications in diverse areas such as content-based image and video search and automatica video survaillance, reducing human effort in the task of manual annotation and monitoring.