1000 resultados para Discriminació visual
Resumo:
Resumen en ingl??s
Resumo:
Se describe una experiencia que consisti?? en dise??ar y aplicar un programa l??dico-educativo con el fin de estimular el lenguaje de ni??os de ??ltimo curso de educaci??n infantil con y sin dificultad espec??fica. Se pretende responder a la necesidad de herramientas en el aula que act??en sobre las dificultades que pueden aparecer durante el desarrollo del lenguaje oral de los ni??os. Las actividades del programa l??dico estaban basadas en el juego dirigido y se centraban en aspectos como la atenci??n, el reconocimiento visual, la lateralidad, el ritmo y la fluidez del habla, la discriminaci??n auditiva, etc. Se llevaron a cabo con 25 alumnos, con una duraci??n de un mes, con dos sesiones semanales de 45 minutos. Los resultados reflejan diferencias estad??sticamente significativas en la mayor??a de las variables objeto de intervenci??n. Los resultados parecen apoyar la utilidad de intervenciones breves de tipo l??dico-educativo aplicadas a nivel grupal en el contexto escolar para la estimulaci??n del lenguaje
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Resumen basado en el de la publicaci??n
Resumo:
Los dibujos de los niños son como sus relatos, sus movimientos, sus gestos, sus canciones inventadas (Coll, Elkonin, Freire, Gardner, Heathcote, Lowenfeld, Moll, Monereo, Read, Vygotsky). Expresan lo que viven, y cómo lo viven, su entorno, sus gustos, intereses, miedos… Aprenden a comunicarlo en los lenguajes que aprenden de los adultos, tanto verbales como corporales, visuales, musicales. Para entender el mundo adulto, ellos nos imitan, copian nuestros elementos y nos cuentan sus cosas. Pero poco a poco van eligiendo unos elementos y desechando otros que no les gustan o no les convencen, y se quedan con un lenguaje particular y propio, personalizado, de todos aquellos que han aprendido
Resumo:
Aquesta tesi tracta sobre la combinació del control visual i la llum estructurada. El control visual clàssic assumeix que elements visuals poden ser fàcilment extrets de les imatges. Això fa que objectes d'aspecte uniforme o poc texturats no es puguin tenir en compte. En aquesta tesi proposem l'ús de la llum estructurada per dotar d'elements visuals als objectes independentment de la seva aparença. En primer lloc, es presenta un ampli estudi de la llum estructurada, el qual ens permet proposar un nou patró codificat que millora els existents. La resta de la tesi es concentra en el posicionament d'un robot dotat d'una càmara respecte diferents objectes, utilitzant la informació proveïda per la projecció de diferents patrons de llum. Dos configuracions han estat estudiades: quan el projector de llum es troba separat del robot, i quan el projector està embarcat en el robot juntament amb la càmara. Les tècniques proposades en la tesi estan avalades per un ampli estudi analític i validades per resultats experimentals.
Resumo:
This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.
Resumo:
Visual search is an important component of our interaction with our surroundings, allowing us to successfully identify external cues that impact our spatial navigation. Previous research has established fixation duration, fixation count, saccade velocity, and saccade amplitude as important indices of visual search. We examined the Visual Efficiency Detection Index (VEDI) comprising multiple aspects of visual search performance into a single measure of global visual performance. Forty participants, 10 adults ages 22-48, and children ages 6, 8, and 10, completed tests of working memory and visual search in response to stimuli relevant to pedestrian decision making. Results indicated VEDI statistically relates to established indices of visual search in relation to their interpretability for human performance. The VEDI was also sensitive to developmental differences in visual search performance, suggesting insight to its utility in the developmental psychological literature.
Resumo:
Vision is the sense that provides precise information about one’s position in the environment in relation to objects. The visual system is essential to guide people safely when moving around in the environment. The perception that an individual gets from a particular scene of her/his surroundings is accomplished by eye movements. The current study aims to identify differences in visual strategies between 15 women and 15 men within the age range of 18-24 years, who have been given a task to walk through an obstacle course drawn on the laboratory´s floor. They should start and finish at a predefined location. Twelve pylons were used as obstacles to be avoided during the walking.The participants' eye movements were recorded using the Mobile Eye model 1.35. The Wilcoxon-Mann-Whitney Test was used for the statistical analysis. Significant differences occurred between men and women, in the duration of fixations: the men spend more time observing the finishing area than women (z=-1.929, p=.054); and in the number of fixations: before starting the task, the men fixate more often the middle phase of the obstacle course (z=-2.085, p=.037). Once they commence, the women fixate more the points outside the obstacle course than the men (z=-2.093, p=.036).