889 resultados para computer vision, facial expression recognition, swig, red5, actionscript, ruby on rails, html5
Resumo:
PURPOSE: An increased mRNA expression of the genes coding for the extracellular matrix proteins neuroglycan C (NGC), interphotoreceptor matrix proteoglycan 2 (IMPG2), and CD44 antigen (CD44) has been observed during retinal degeneration in mice with a targeted disruption of the Rpe65 gene (Rpe65-/- mouse). To validate these data, we analyzed this differential expression in more detail by characterizing retinal NGC mRNA isoform and protein expression during disease progression. METHODS: Retinas from C57/Bl6 wild-type and Rpe65-/- mice, ranging 2 to 18 months of age, were used. NGC, IMPG2, and CD44 mRNA expression was assessed by oligonucleotide microarray, quantitative PCR, and in situ hybridization. Retinal NGC protein expression was analyzed by western blot and immunohistochemistry. RESULTS: As measured by quantitative PCR, mRNA expression of NGC and CD44 was induced by about 2 fold to 3 fold at all time points in Rpe65-/- retinas, whereas initially 4 fold elevated IMPG2 mRNA levels progressively declined. NGC and IMPG2 mRNAs were expressed in the ganglion cell layer, the inner nuclear layer, and at the outer limiting membrane. NGC mRNA was also detected in retinal pigment epithelium cells (RPE), where its mRNA expression was not induced during retinal degeneration. NGC-I was the major isoform detected in the retina and the RPE, whereas NGC-III was barely detected and NGC-II could not be assessed. NGC protein expression was at its highest levels on the apical membrane of the RPE. NGC protein levels were induced in retinas from 2- and 4-month-old Rpe65-/- mice, and an increased amount of the activity-cleaved NGC ectodomain containing an epidermal growth factor (EGF)-like domain was detected. CONCLUSIONS: During retinal degeneration in Rpe65-/- mice, NGC expression is induced in the neural retina, but not in the RPE, where NGC is expressed at highest levels.
Resumo:
This paper presents the use of our multimodal mixed reality telecommunication system to support remote acting rehearsal. The rehearsals involved two actors, located in London and Barcelona, and a director in another location in London. This triadic audiovisual telecommunication was performed in a spatial and multimodal collaborative mixed reality environment based on the 'destination-visitor' paradigm, which we define and put into use. We detail our heterogeneous system architecture, which spans the three distributed and technologically asymmetric sites, and features a range of capture, display, and transmission technologies. The actors' and director's experience of rehearsing a scene via the system are then discussed, exploring successes and failures of this heterogeneous form of telecollaboration. Overall, the common spatial frame of reference presented by the system to all parties was highly conducive to theatrical acting and directing, allowing blocking, gross gesture, and unambiguous instruction to be issued. The relative inexpressivity of the actors' embodiments was identified as the central limitation of the telecommunication, meaning that moments relying on performing and reacting to consequential facial expression and subtle gesture were less successful.
Resumo:
RESUME : Les aquaporines (AQPs) sont des protéines membranaires perméables à l'eau (aquaporines strictes) et, pour certaines d'entre elles, également au glycérol (aquaglycéroporines). Ces protéines sont présentes dans les bactéries, les plantes et les différents organes des mammifères. Dans le cerveau, la moindre augmentation de volume hydrique peut avoir de graves conséquences sur son fonctionnement, d'où l'importance de la régulation de l'homéostasie de l'eau grâce aux AQPs. L'AQP4, une aquaporine stricte, est présente dans les astrocytes et est impliquée dans la formation et la résorption des oedèmes cérébraux. En revanche, l'AQP9 est une aquaglycéroporine, qui est localisée non seulement dans les astrocytes mais également dans les neurones catécholaminergiques. Bien que la distribution de l'AQP4 dans le cerveau soit clairement établie, la présence de l'AQP9 est toujours une donnée controversée et son rôle fonctionnel dans le système nerveux central n'est pas connu. Par ailleurs, aucune donnée n'existe sur l'expression des AQP4 et 9 lors de la différenciation de cellules souches neurales foetales (CSNf) en astrocytes ou en neurones catécholaminergiques. Dans la première partie de ce travail, un protocole a été mis au point permettant de différencier des CSNf de souris en astrocytes et neurones, dont des neurones catécholaminergiques. La caractérisation des cultures de CSNf et des cultures mixtes par immunofluorescence a permis de montrer que l'immunomarquage AQP9 est présent dans les CSNf et est conservé lors de leur différenciation en astrocytes ou en neurones catécholaminergiques. Les résultats obtenus ont mis en évidence une très bonne corrélation entre l'expression de la TH (tyrosine hydroxylase: enzyme limitante de la synthèse des catécholamines) et celle de l'AQP9 lors de la différenciation des CSNf en neurones catécholaminergiques. Par contre, l'immunomarquage AQP4 n'est pas présent dans les CSNf alors qu'il est observé dans les astrocytes. De plus, aucun immunomarquage AQP4 ou AQP9 n'a été observé dans les neurones NIAP2-positifs. Dans la deuxième partie de ce travail, l'expression des AQP4 et 9 a été quantifiée dans les CSNf ainsi que dans trois populations d'astrocytes présentant des propriétés métaboliques différentes. Ces trois populations astrocytaires sont issues de la différenciation des CSNf par le CNTF, le LIF ou le sérum de veau foetal. Les analyses par RTPCR quantitative et western blot ont montré une augmentation de l'expression de l'AQP9 et de l'AQP4 corrélée à l'acquisition de propriétés métaboliques spécifiques des astrocytes matures. Dans la dernière partie, la technique d'ARN interférents a permis d'étudier le rôle fonctionnel de l'AQP9 dans le modèle de culture pure d'astrocytes différenciés par le sérum. L'inhibition de l'expression d'AQP9 entraîne une diminution de la perméabilité au glycérol et une augmentation de l'utilisation de glucose, corrélée à une stimulation du métabolisme oxydatif astrocytaire. En revanche, 1a baisse d'expression d'AQP9 n'a aucun effet sur la glycolyse anaérobie ni sur la libération du lactate. En conclusion, dans ce modèle in vitro, seule l'AQP9 est exprimée dans les CSNf et les neurones catécholaminergiques alors que dans Ies astrocytes, à la fois l'AQP9 et l'AQP4 sont exprimées. Cette distribution est identique à celle observée in vivo et confirme la localisation spécifique de l'AQP9 dans les neurones catécholaminergiques. De plus, ces résultats montrent, pour la première fois, l'implication de l'AQP9 dans la perméabilité des astrocytes au glycérol et son implication dans le métabolisme énergétique astrocytaire. ABSTACT : Aquaporins (AQPs) are membrane proteins permeable to water (orthodoxes aquaporins) and some of them are also permeable to glycerol (aquaglyceroporins). These proteins are widely expressed in bacteria, plants and mammals. AQP water homeostasis regulation in brain is of primary importance as the brain volume cannot increase. AQP4, an orthodoxe aquaporin, is present in astrocytes and seems to be involved in edema formation and resorption. On the other hand, AQP9 is an aquaglyceroporin which is localised not only in astrocytes but also in catecholaminergic neurons. Although AQP4 distribution in brain is clearly established, the presence of AQP9 is still a discussed data and its functional role in the central nervous system is unknown. In addition, no data exists on AQP4 or AQP9 expression during fetal neural stem cells (fNSC) differentiation into astrocytes or catecholaminergic neurons. In the first part of this work, a protocol was developed to differentiate mouse fNSC into astrocytes and neurons, with the aim to obtain catecholaminergic neurons. By immunefluorescence, we have shown that AQP9 is expressed in fNSC cultures and also in astrocytes and catecholaminergic neurons in mixt cultures. The results obtained highlighted a very good correlation between TH expression (tyrosin hydroxylase being a limiting enzyme of catecholamines synthesis) and AQP9 in fNSC and all along their differentiation into catecholaminergic neurons. On the other hand, AQP4 immunolabelling is not observed in fNSC whereas it is in astrocytes. Moreover, neitheir AQP4, nor AQP9 immunoreactivity was observed in MAP2-positive neurons. In the second part of this work, AQP4 and AQP9 expression was quantified in fNSC and in three populations of astrocytes presenting different metabolic properties. These three astrocyte populations result from fNSC differentiation by addition of CNTF, LIF or fetal calf serum. Quantitative RT-PCR and western blot analyses have shown an increase in both AQP4 and AQP9 expression, correlated with the acquisition of specific metabolic properties of mature astrocytes. In the last part, siRNA were used to study the functional role of AQP9 in the pure astrocyte culture model differentiated by addition of fetal calf serum. Inhibition of AQP9 expression leads to a decrease of glycerol uptake and to an increase of glucose uptake, correlated with a stimulation of the astrocyte oxydative metabolism. On the other hand, inhibition of AQP9 expression does not have any effect on anaerobic glycolysis nor on lactate release. In conclusion, in this in vitro model, only AQP9 is expressed in fNSC and in catecholaminergic neurons whereas in astrocytes, both AQP9 and AQP4 are expressed. This distribution is identical to that observed in vivo and confirms the specific AQP9 localization in catecholaminergic neurons. IVloreover, these results show, for the first time, that AQP9 is implicated in glycerol uptake and in astrocyte energetic metabolism. Résumé large public : Les aquaporines, des protéines localisées dans les membranes cellulaires sont, comme leur nom l'indique, des canaux à eau. Pendant longtemps, il a été considéré que l'eau diffusait librement dans et à travers les cellules; la caractérisation des AQPs a révolutionné la vision des scientifiques concernant les mouvements d'eau entre les différents compartiments infra et extracellulaires, et a d'ailleurs valu le Prix Nobel à Peter Agre en 1992. Certaines AQPs, dites "strictes", laissent passer uniquement l'eau et participent au contrôle du volume hydrique. Ce contrôle est particulièrement important pour le bon fonctionnement du cerveau en raison de la présence de la boîte crânienne qui limite les variations de volume. D'autres AQPs, les aquaglycéroporines, sont perméables non seulement à l'eau mais également à d'autres molécules comme le glycérol. Elles facilitent, par exemple, la sortie du glycérol des cellules graisseuses et sa capture par les cellules du foie afin de produire du glucose en période de jeûne. Le cerveau est principalement composé de deux types de cellules: les neurones et les cellules gliales, majoritairement des astrocytes. L'AQP4, une AQP stricte, est présente dans les astrocytes et joue un rôle dans la formation et la résorption des oedèmes cérébraux. L'AQP9, une aquaglycéroporine, est également présente dans les astrocytes et dans une population spécifique de neurones, les neurones catécholaminergiques, touchés dans la maladie de Parkinson. A ce jour, la présence de l'AQP9 dans le cerveau est une donnée controversée et son rôle fonctionnel est inconnu. Ce travail de thèse a permis de montrer que l'AQP9 est bien présente d'une part dans les cellules souches neurales foetales et d'autre ,part dans les astrocytes et neurones catécholaminergiques issus de leur différenciation. De plus, ces expériences ont mis en évidence un rôle de l'AQP9 dans l'entrée du glycérol dans les astrocytes, ce qui pourrait être bénéfique dans des conditions d'ischémie. Enfin, les .résultats de cette étude suggèrent également un rôle de l'AQP9 dans le métabolisme énergétique des astrocytes. L'ensemble de ces travaux démontre le rôle important de l'AQP9 dans le cerveau et ouvre de nouvelles perspectives quant aux rôles des AQPs dans des situations pathologiques telles que l'ischémie cérébrale ou encore la maladie de Parkinson.
Resumo:
This paper presents the use of our multimodal mixed reality telecommunication system to support remote acting rehearsal. The rehearsals involved two actors, located in London and Barcelona, and a director in another location in London. This triadic audiovisual telecommunication was performed in a spatial and multimodal collaborative mixed reality environment based on the 'destination-visitor' paradigm, which we define and put into use. We detail our heterogeneous system architecture, which spans the three distributed and technologically asymmetric sites, and features a range of capture, display, and transmission technologies. The actors' and director's experience of rehearsing a scene via the system are then discussed, exploring successes and failures of this heterogeneous form of telecollaboration. Overall, the common spatial frame of reference presented by the system to all parties was highly conducive to theatrical acting and directing, allowing blocking, gross gesture, and unambiguous instruction to be issued. The relative inexpressivity of the actors' embodiments was identified as the central limitation of the telecommunication, meaning that moments relying on performing and reacting to consequential facial expression and subtle gesture were less successful.
Resumo:
El principal objectiu d’aquest projecte és aconseguir classificar diferents vídeos d’esports segons la seva categoria. Els cercadors de text creen un vocabulari segons el significat de les diferents paraules per tal de poder identificar un document. En aquest projecte es va fer el mateix però mitjançant paraules visuals. Per exemple, es van intentar englobar com a una única paraula les diferents rodes que apareixien en els cotxes de rally. A partir de la freqüència amb què apareixien les paraules dels diferents grups dins d’una imatge vàrem crear histogrames de vocabulari que ens permetien tenir una descripció de la imatge. Per classificar un vídeo es van utilitzar els histogrames que descrivien els seus fotogrames. Com que cada histograma es podia considerar un vector de valors enters vàrem optar per utilitzar una màquina classificadora de vectors: una Support vector machine o SVM
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BACKGROUND: Very preterm (VP) infants are at greater risk for cognitive difficulties that may persist during school-age, adolescence and adulthood. Behavioral assessments report either effortful control (part of executive functions) or emotional reactivity/regulation impairments. AIMS: The aim of this study is to examine whether emotional recognition, reactivity, and regulation, as well as effortful control abilities are impaired in very preterm children at 42 months of age, compared with their full-term peers, and to what extent emotional and effortful control difficulties are linked. STUDY DESIGN: Children born very preterm (VP; < 29 weeks gestational age, n=41) and full-term (FT) aged-matched children (n=47) participated in a series of specific neuropsychological tests assessing their level of emotional understanding, reactivity and regulation, as well as their attentional and effortful control abilities. RESULTS: VP children exhibited higher scores of frustration and fear, and were less accurate in naming facial expressions of emotions than their aged-matched peers. However, VP children and FT children equally performed when asked to choose emotional facial expression in social context, and when we assessed their selective attention skills. VP performed significantly lower than full terms on two tasks of inhibition when correcting for verbal skills. Moreover, significant correlations between cognitive capacities (effortful control) and emotional abilities were evidenced. CONCLUSIONS: Compared to their FT peers, 42 month-olds who were born very preterm are at higher risk of exhibiting specific emotional and effortful control difficulties. The results suggest that these difficulties are linked. Ongoing behavioral and emotional impairments starting at an early age in preterms highlight the need for early interventions based on a better understanding of the relationship between emotional and cognitive difficulties.
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This thesis is about detection of local image features. The research topic belongs to the wider area of object detection, which is a machine vision and pattern recognition problem where an object must be detected (located) in an image. State-of-the-art object detection methods often divide the problem into separate interest point detection and local image description steps, but in this thesis a different technique is used, leading to higher quality image features which enable more precise localization. Instead of using interest point detection the landmark positions are marked manually. Therefore, the quality of the image features is not limited by the interest point detection phase and the learning of image features is simplified. The approach combines both interest point detection and local description into one phase for detection. Computational efficiency of the descriptor is therefore important, leaving out many of the commonly used descriptors as unsuitably heavy. Multiresolution Gabor features has been the main descriptor in this thesis and improving their efficiency is a significant part. Actual image features are formed from descriptors by using a classifierwhich can then recognize similar looking patches in new images. The main classifier is based on Gaussian mixture models. Classifiers are used in one-class classifier configuration where there are only positive training samples without explicit background class. The local image feature detection method has been tested with two freely available face detection databases and a proprietary license plate database. The localization performance was very good in these experiments. Other applications applying the same under-lying techniques are also presented, including object categorization and fault detection.
Resumo:
Psychophysical studies suggest that humans preferentially use a narrow band of low spatial frequencies for face recognition. Here we asked whether artificial face recognition systems have an improved recognition performance at the same spatial frequencies as humans. To this end, we estimated recognition performance over a large database of face images by computing three discriminability measures: Fisher Linear Discriminant Analysis, Non-Parametric Discriminant Analysis, and Mutual Information. In order to address frequency dependence, discriminabilities were measured as a function of (filtered) image size. All three measures revealed a maximum at the same image sizes, where the spatial frequency content corresponds to the psychophysical found frequencies. Our results therefore support the notion that the critical band of spatial frequencies for face recognition in humans and machines follows from inherent properties of face images, and that the use of these frequencies is associated with optimal face recognition performance.
Resumo:
Vaikka keraamisten laattojen valmistusprosessi onkin täysin automatisoitu, viimeinen vaihe eli laaduntarkistus ja luokittelu tehdään yleensä ihmisvoimin. Automaattinen laaduntarkastus laattojen valmistuksessa voidaan perustella taloudellisuus- ja turvallisuusnäkökohtien avulla. Tämän työn tarkoituksena on kuvata tutkimusprojektia keraamisten laattojen luokittelusta erilaisten väripiirteiden avulla. Oleellisena osana tutkittiin RGB- ja spektrikuvien välistä eroa. Työn teoreettinen osuus käy läpi aiemmin aiheesta tehdyn tutkimuksen sekä antaa taustatietoa konenäöstä, hahmontunnistuksesta, luokittelijoista sekä väriteoriasta. Käytännön osan aineistona oli 25 keraamista laattaa, jotka olivat viidestä eri luokasta. Luokittelussa käytettiin apuna k:n lähimmän naapurin (k-NN) luokittelijaa sekä itseorganisoituvaa karttaa (SOM). Saatuja tuloksia verrattiin myös ihmisten tekemään luokitteluun. Neuraalilaskenta huomattiin tärkeäksi työkaluksi spektrianalyysissä. SOM:n ja spektraalisten piirteiden avulla saadut tulokset olivat lupaavia ja ainoastaan kromatisoidut RGB-piirteet olivat luokittelussa parempia kuin nämä.
Resumo:
Aquest projecte s’emmarca dins de l’àmbit de la visió per computador, concretament en la utilització de dades de profunditat obtingudes a través d’un emissor i sensor de llum infraroja.El propòsit principal d’aquest projecte és mostrar com adaptar aquestes tecnologies, a l’abast de qualsevol particular, de forma que un usuari durant la pràctica d’una activitat esportiva concreta, rebi informació visual continua dels moviments i gestos incorrectes que està realitzant, en base a uns paràmetres prèviament establerts.L’objectiu d’aquest projecte consisteix en fer una lectura constant en temps real d’una persona practicant una selecció de diverses activitats esportives estàtiques utilitzant un sensor Kinect. A través de les dades obtingudes pel sensor Kinect i utilitzant les llibreries de “skeleton traking” proporcionades per Microsoft s’haurà d’interpretar les dades posturals obtingudes per cada tipus d’esport i indicar visualment i d’una manera intuïtiva els errors que està cometent en temps real, de manera que es vegi clarament a quina part del seu cos realitza un moviment incorrecte per tal de poder corregir-lo ràpidament. El entorn de desenvolupament que s’utilitza per desenvolupar aquesta aplicació es Microsoft Viusal Studio 2010.El llenguatge amb el qual es treballarà sobre Microsoft Visual Studio 2010 és C#
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We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal
Resumo:
Image segmentation of natural scenes constitutes a major problem in machine vision. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. This approach begins by detecting the main contours of the scene which are later used to guide a concurrent set of growing processes. A previous analysis of the seed pixels permits adjustment of the homogeneity criterion to the region's characteristics during the growing process. Since the high variability of regions representing outdoor scenes makes the classical homogeneity criteria useless, a new homogeneity criterion based on clustering analysis and convex hull construction is proposed. Experimental results have proven the reliability of the proposed approach
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This thesis deals with distance transforms which are a fundamental issue in image processing and computer vision. In this thesis, two new distance transforms for gray level images are presented. As a new application for distance transforms, they are applied to gray level image compression. The new distance transforms are both new extensions of the well known distance transform algorithm developed by Rosenfeld, Pfaltz and Lay. With some modification their algorithm which calculates a distance transform on binary images with a chosen kernel has been made to calculate a chessboard like distance transform with integer numbers (DTOCS) and a real value distance transform (EDTOCS) on gray level images. Both distance transforms, the DTOCS and EDTOCS, require only two passes over the graylevel image and are extremely simple to implement. Only two image buffers are needed: The original gray level image and the binary image which defines the region(s) of calculation. No other image buffers are needed even if more than one iteration round is performed. For large neighborhoods and complicated images the two pass distance algorithm has to be applied to the image more than once, typically 3 10 times. Different types of kernels can be adopted. It is important to notice that no other existing transform calculates the same kind of distance map as the DTOCS. All the other gray weighted distance function, GRAYMAT etc. algorithms find the minimum path joining two points by the smallest sum of gray levels or weighting the distance values directly by the gray levels in some manner. The DTOCS does not weight them that way. The DTOCS gives a weighted version of the chessboard distance map. The weights are not constant, but gray value differences of the original image. The difference between the DTOCS map and other distance transforms for gray level images is shown. The difference between the DTOCS and EDTOCS is that the EDTOCS calculates these gray level differences in a different way. It propagates local Euclidean distances inside a kernel. Analytical derivations of some results concerning the DTOCS and the EDTOCS are presented. Commonly distance transforms are used for feature extraction in pattern recognition and learning. Their use in image compression is very rare. This thesis introduces a new application area for distance transforms. Three new image compression algorithms based on the DTOCS and one based on the EDTOCS are presented. Control points, i.e. points that are considered fundamental for the reconstruction of the image, are selected from the gray level image using the DTOCS and the EDTOCS. The first group of methods select the maximas of the distance image to new control points and the second group of methods compare the DTOCS distance to binary image chessboard distance. The effect of applying threshold masks of different sizes along the threshold boundaries is studied. The time complexity of the compression algorithms is analyzed both analytically and experimentally. It is shown that the time complexity of the algorithms is independent of the number of control points, i.e. the compression ratio. Also a new morphological image decompression scheme is presented, the 8 kernels' method. Several decompressed images are presented. The best results are obtained using the Delaunay triangulation. The obtained image quality equals that of the DCT images with a 4 x 4
Resumo:
Multispectral images are becoming more common in the field of remote sensing, computer vision, and industrial applications. Due to the high accuracy of the multispectral information, it can be used as an important quality factor in the inspection of industrial products. Recently, the development on multispectral imaging systems and the computational analysis on the multispectral images have been the focus of a growing interest. In this thesis, three areas of multispectral image analysis are considered. First, a method for analyzing multispectral textured images was developed. The method is based on a spectral cooccurrence matrix, which contains information of the joint distribution of spectral classes in a spectral domain. Next, a procedure for estimating the illumination spectrum of the color images was developed. Proposed method can be used, for example, in color constancy, color correction, and in the content based search from color image databases. Finally, color filters for the optical pattern recognition were designed, and a prototype of a spectral vision system was constructed. The spectral vision system can be used to acquire a low dimensional component image set for the two dimensional spectral image reconstruction. The data obtained by the spectral vision system is small and therefore convenient for storing and transmitting a spectral image.
Resumo:
El reconeixement dels gestos de la mà (HGR, Hand Gesture Recognition) és actualment un camp important de recerca degut a la varietat de situacions en les quals és necessari comunicar-se mitjançant signes, com pot ser la comunicació entre persones que utilitzen la llengua de signes i les que no. En aquest projecte es presenta un mètode de reconeixement de gestos de la mà a temps real utilitzant el sensor Kinect per Microsoft Xbox, implementat en un entorn Linux (Ubuntu) amb llenguatge de programació Python i utilitzant la llibreria de visió artifical OpenCV per a processar les dades sobre un ordinador portàtil convencional. Gràcies a la capacitat del sensor Kinect de capturar dades de profunditat d’una escena es poden determinar les posicions i trajectòries dels objectes en 3 dimensions, el que implica poder realitzar una anàlisi complerta a temps real d’una imatge o d’una seqüencia d’imatges. El procediment de reconeixement que es planteja es basa en la segmentació de la imatge per poder treballar únicament amb la mà, en la detecció dels contorns, per després obtenir l’envolupant convexa i els defectes convexos, que finalment han de servir per determinar el nombre de dits i concloure en la interpretació del gest; el resultat final és la transcripció del seu significat en una finestra que serveix d’interfície amb l’interlocutor. L’aplicació permet reconèixer els números del 0 al 5, ja que s’analitza únicament una mà, alguns gestos populars i algunes de les lletres de l’alfabet dactilològic de la llengua de signes catalana. El projecte és doncs, la porta d’entrada al camp del reconeixement de gestos i la base d’un futur sistema de reconeixement de la llengua de signes capaç de transcriure tant els signes dinàmics com l’alfabet dactilològic.