1,720,973 research outputs found
FaceVision-GAN: A 3D Model Face Reconstruction Method from a Single Image Using GANs
No full textGenerative algorithms have been very successful in recent years. This phenomenon derives from the strong computational power that even consumer computers can provide. Moreover, a huge amount of data is available today for feeding deep learning algorithms. In this context, human 3D face mesh reconstruction is becoming an important but challenging topic in computer vision and computer graphics. It could be exploited in different application areas, from security to avatarization. This paper provides a 3D face reconstruction pipeline based on Generative Adversarial Networks (GANs). It can generate high-quality depth and correspondence maps from 2D images, which are exploited for producing a 3D model of the subject’s face
A Natural Interaction System for Medical Training through VR Technology
No full textVirtual Reality (VR) technology is rapidly gaining traction as a pivotal tool in medical education, offering immersive and interactive learning environments that show considerable promise, especially in anatomy training. Its ability to simulate complex anatomical structures in a three-dimensional space allows for a deeper understanding and visualization that is difficult to achieve through traditional two-dimensional methods. This study evaluates a VR-based training system that enhances anatomical learning through principles of Human-Computer Interaction (HCI), e.g., hand-tracking technology to avoid the need for traditional controllers. The effectiveness and usability of this system were assessed using the System Usability Scale (SUS), with additional analysis of whether demographic factors such as age, gender, and prior VR experience influence the outcomes. The high achieved results reflect user-friendliness and potential educational effectiveness across diverse user groups. The intuitive nature of the proposed natural interactions significantly enhances the accessibility and engagement of learners, demonstrating that this technology could make advanced medical training more inclusive and broadly accessible. This suggests promising avenues for further research into its application in more complex anatomical and procedural training, aiming to exploit VR's potential in medical education as a future standard
MIFTel: a multimodal interactive framework based on temporal logic rules
No full textHuman-computer interfaces and multimodal interaction are increasingly used in everyday life. Environments equipped with sensors are able to acquire and interpret a wide range of information, thus assisting humans in several application areas, such as behaviour understanding, event detection, action recognition, and many others. In these areas, the suitable processing of this information is a key factor to properly structure multimodal data. In particular, heterogeneous devices and different acquisition times can be exploited to improve recognition results. On the basis of these assumptions, in this paper, a multimodal system based on Allen’s temporal logic combined with a prevision method is proposed. The main target of the system is to correlate user’s events with system’s reactions. After the post-processing data coming from different acquisition devices (e.g., RGB images, depth maps, sounds, proximity sensors), the system manages the correlations between recognition/detection results and events, in real-time, thus creating an interactive environment for users. To increase the recognition reliability, a predictive model is also associated with the method. Modularity of the system grants a full dynamic development and upgrade with customized modules. Finally, comparisons with other similar systems are shown, thus underlining the high flexibility and robustness of the proposed event management method
A Novel Low Cybersickness Dynamic Rotation Gain Enhancer based on Spatial Position and Orientation in Virtual Environments
No full textHardware and software resources nowadays make possible new Virtual Reality (VR) interaction methods. Numerous challenges have been involved over the years, and one of the most interesting is locomotion in virtual environments. In particular, Real Walking (RW) is one of the most effective Virtual Locomotion Techniques (VLT). It causes only reduced cybersickness, but it also requires proportional real walkable space to the virtual one, often requiring wide areas. In this context, optimization techniques have been proposed in the literature, e.g., reorientation or relocation. In this work, a novel method for improving reorientation in a virtual environment, exploiting a dynamic Rotation Gain Multiplication Factor (RGMF) based on the competence of the user in VR systems usage is proposed. The results highlight the effectiveness of the system and show the specific target of users that mainly appreciated it
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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