1,720,953 research outputs found

    Brain-computer interface for robot control with eye artifacts for assistive applications

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    Human-robot interaction is a rapidly developing field and robots have been taking more active roles in our daily lives. Patient care is one of the fields in which robots are becoming more present, especially for people with disabilities. People with neurodegenerative disorders might not consciously or voluntarily produce movements other than those involving the eyes or eyelids. In this context, Brain-Computer Interface (BCI) systems present an alternative way to communicate or interact with the external world. In order to improve the lives of people with disabilities, this paper presents a novel BCI to control an assistive robot with user's eye artifacts. In this study, eye artifacts that contaminate the electroencephalogram (EEG) signals are considered a valuable source of information thanks to their high signal-to-noise ratio and intentional generation. The proposed methodology detects eye artifacts from EEG signals through characteristic shapes that occur during the events. The lateral movements are distinguished by their ordered peak and valley formation and the opposite phase of the signals measured at F7 and F8 channels. This work, as far as the authors' knowledge, is the first method that used this behavior to detect lateral eye movements. For the blinks detection, a double-thresholding method is proposed by the authors to catch both weak blinks as well as regular ones, differentiating itself from the other algorithms in the literature that normally use only one threshold. Real-time detected events with their virtual time stamps are fed into a second algorithm, to further distinguish between double and quadruple blinks from single blinks occurrence frequency. After testing the algorithm offline and in realtime, the algorithm is implemented on the device. The created BCI was used to control an assistive robot through a graphical user interface. The validation experiments including 5 participants prove that the developed BCI is able to control the robot

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    BCI for robot control with eye artifacts

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    LAUREA MAGISTRALEL'interazioni tra uomo e robot sono un argomento in rapida espansione e i robot stanno sempre piu’ acquisendo un ruolo importante nella nostra quotidianeita’. Il supporto ai pazienti e’ uno degli ambiti in cui i robot stanno diventando sempre piu presenti, specialmente per le persone disabili. Le persone con disturbi neurodegenerativi non possono effettuare consapevolmente o volontariamente movimenti diversi da quelli che coinvolgono gli occhi o le palpebre. In questo contesto, i sistemi BCI rappresentano una via alternativa di comunicazione o interazione con il mondo esterno. Per migliorare la vita delle persone disabili, questo paper presenta una nuova interfaccia computer/cervello per controllare un robot di assistenza attraverso l’uso degli artefatti oculari dell’utente. In questo studio, gli artefatti oculari che contaminano i segnali EEG sono considerati una preziosa fonte di informazione grazie al loro alto signal-to-noise ratio e alla generazione intenzionale dei segnali. La metodologia proposta rileva gli artefatti oculari dai segnali EEG attraverso le forme caratteristiche che occorrono durante gli eventi dei battiti di ciglia. I movimenti laterali vengono distinti dai picchi ordinari e dalle valle formazione e dalla fase opposta dei segnali misurati dai canali F7 e F8. Questo lavoro, per quanto ne risulti all’autore, e’ la prima applicazione che utilizza questa metodologia di rilevazione del movimento laterale degli occhi. Per la rilevazione dei battiti, un metodo a doppia soglia viene proposto dagli autori per catturare sia i battiti deboli che quelli regolari, differenziandosi dagli altri algoritmi proposti in letteratura che normalmente tendono ad utilizzare una sola soglia. Gli eventi real-time con i relativi timestamp vengono poi forniti come input ad un secondo algoritmo, per differenziare ancora di piu tra i battiti doppi e quadrupli dalla frequenza di occorrenza dei battiti singoli. Dopo aver testato l’algoritmo sia offline che in real time, l’algoritmo e’ stato successivamente implementato nel dispositivo. Il BCI creato e’ stato in grado di controllare un robot di assistenza attraverso l’utilizzo di una GUI. Gli esperimenti di validazione provano che il BCI e’ in grado di controllare il robot.Human-robot interaction is a rapidly developing field and robots have been taking more active roles in our daily lives. Patient care is one of the fields in which robots are becoming more present, especially for disabled people. Neurodegenerative disordered people cannot consciously or voluntarily produce movements other than those involving the eyes or eyelids. In this context, BCI systems present an alternative way to communicate or interact with the external world. In order to improve the lives of disabled people, this paper presents a novel brain-computer interface to control an assistive robot with user's eye artifacts. In this study, eye artifacts that contaminate the EEG signals are considered a valuable source of information thanks to their high signal-to-noise ratio and intentional generation. The proposed methodology detects eye artifacts from EEG signals through characteristic shapes that occur during the events. The lateral movements are distinguished by their ordered peak and valley formation and the opposite phase of the signals measured at F7 and F8 channels. This work, as far as the author's knowledge is the first method that used this behavior to detect lateral eye movements. For the blinks detection, a double-thresholding method is proposed by the author to catch both weak blinks as well as regular ones, differentiating itself from the other algorithms in the literature that normally uses only one threshold. Real-time detected events with their virtual time stamps are fed into a second algorithm, to further distinguish between double and quadruple blinks from single blinks occurrence frequency. After testing the algorithm offline and in real-time, the algorithm is implemented on the device. The created BCI was able to control an assistive robot through a graphical user interface. The validation experiment proves that the developed BCI is able to control the robot

    Variations on the Author

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    “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

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    We 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

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    We 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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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