279 research outputs found

    Freehand Sketch Recognition for Computer-Assisted Language Learning of Written East Asian Languages

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    One of the challenges students face in studying an East Asian (EA) language (e.g., Chinese, Japanese, and Korean) as a second language is mastering their selected language’s written component. This is especially true for students with native fluency of English and deficient written fluency of another EA language. In order to alleviate the steep learning curve inherent in the properties of EA languages’ complicated writing scripts, language instructors conventionally introduce various written techniques such as stroke order and direction to allow students to study writing scripts in a systematic fashion. Yet, despite the advantages gained from written technique instruction, the physical presence of the language instructor in conventional instruction is still highly desirable during the learning process; not only does it allow instructors to offer valuable real-time critique and feedback interaction on students’ writings, but it also allows instructors to correct students’ bad writing habits that would impede mastery of the written language if not caught early in the learning process. The current generation of computer-assisted language learning (CALL) applications specific to written EA languages have therefore strived to incorporate writing-capable modalities in order to allow students to emulate their studies outside the classroom setting. Several factors such as constrained writing styles, and weak feedback and assessment capabilities limit these existing applications and their employed techniques from closely mimicking the benefits that language instructors continue to offer. In this thesis, I describe my geometric-based sketch recognition approach to several writing scripts in the EA languages while addressing the issues that plague existing CALL applications and the handwriting recognition techniques that they utilize. The approach takes advantage of A Language to Describe, Display, and Editing in Sketch Recognition (LADDER) framework to provide users with valuable feedback and assessment that not only recognizes the visual correctness of students’ written EA Language writings, but also critiques the technical correctness of their stroke order and direction. Furthermore, my approach provides recognition independent of writing style that allows students to learn with natural writing through size- and amount-independence, thus bridging the gap between beginner applications that only recognize single-square input and expert tools that lack written technique critique

    Occupational Therapy Handwriting Practice in South Korea

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    Background. Internationally, handwriting difficulty is a common issue among children. Occupational therapists are involved in helping children to improve their handwriting. Previous studies have summarised occupational therapy research and practice in handwriting, but these have not included information about occupational therapy practice for children’s handwriting in South Korea. To understand the nature of practice and identify the scope of evidence relating to South Korean occupational therapy for children with handwriting difficulties, a review of published literature on this topic is required. Methods. A scoping review was conducted to identify and summarize published literature on occupational therapy paediatric handwriting practice in South Korea. A detailed context of the review was provided in a background chapter (Chapter 1 “Introduction”). The introduction provided comprehensive information about the hand, handwriting, South Korea and the occupational therapy profession in South Korea to define terms and to help provide an understanding of occupational therapy practice conducted in Korea. Chapter 2 “A scoping review of occupational therapy handwriting literature” is presented in the form of a manuscript for submission to a peer-reviewed journal (Occupational Therapy International). This background, the gap in evidence and research design used is presented. This study used a scoping review methodological framework suggested by Arksey and O’Malley (2005). This five-step framework was followed. First, the research question was identified; second, a search strategy was designed in Korean and English, and implemented in three databases which published or may have published Korean occupational therapy research. Third, after inspection a total of 22 articles were selected for inclusion from 151 sources. Fourth, a data-extraction form in Excel™ was created and this recorded the characteristics of each of these studies. At the last stage, a descriptive analysis of numerical data and thematic analysis were used to collate, summarise and synthesise the data from the 22 included papers. Results. Key findings of the scoping review demonstrate that hospitals and school-based settings were the most commonly studied service sites. Most studies were with Korean children with cerebral palsy. Standardized assessments were predominantly used, and these measured various performance components, rather than the “task” or “activity” of handwriting. Author-designed handwriting assessments which were reported to be based on previous studies were frequently used for measurement of handwriting quality. These did not ⅳ go through standardisation or validation processes. A sensory integration approach was the most popular approach to intervention, and the most targeted performance component of handwriting was fine-motor skills. Most study designs were of low research rigour in the evidence-based hierarchy. This study highlights that there is a diverse approach to assessments and intervention in Korean occupational therapy handwriting research, indicating that there is no consensus on the best handwriting approach in Korean occupational therapy literature. Conclusion. Most of the found evidence was focussed on clinical samples and used a sensory integrative approach. This is different to international occupational therapy research literature (which used standardised instruments) which focused mostly on typically developing children and used a wide number of conceptual approaches. Korean research was similar in the low level of research evidence generated. In the future, Korean occupational therapy handwriting research should use rigorous designs and should use assessments to accommodate the cultural and linguistic uniqueness of Korea. This will provide more opportunities to enhance the diversity of evidence on handwriting research

    What Makes a Font Persuasive?: An Eye-Tracking Study of Perception in American and Chinese Assessment of Fonts

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    Professional, technical, and visual communication practitioners and academics have historically overlooked visual rhetoric and how it is employed in business communications as well as how various cultures comprehend and respond to the design elements and visual composition of business documents. More specifically typography, the building blocks of a document, has been little explored in professional and technical communication research. As such, this study utilizes eye-tracking technology in conjunction with other data collection methods to understand if and how fonts contribute to the persuasiveness of business communications and if different cultures vary in typeface assessment and perception. Mackiewicz and Brumberger have both examined typeface anatomy and its effect on perception of font personality. Similar methods are implemented in this study to determine if the anatomical characteristics of fonts contribute to the perception of typeface persuasiveness in business documents. Furthermore, this study also seeks to establish if any correlations exist in typeface persuasiveness between American and Chinese cultures. Through this study, it was discovered that there are in fact anatomical characteristics of typefaces that lend themselves to a font being perceived as persuasive. It was also found that the perception of persuasiveness differs between the two cultures, and the methods by which the two groups assess the typefaces for persuasiveness are quite distinct

    Arabic Handwriting: Analysis and Synthesis

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    Scripting allographs

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    Scripting Allographs* examines typographic principles and their pervasive impact on ways of seeing and making through design. This body of work demonstrates the many faces of typography and type design and the way they inform allographic thinking. It employs type as the primary tool and medium for scripting possibilities, embracing their differences, idiosyncrasies, and imperfections. Beginning with a focus on close observation of small details and ending with an approach that invites and celebrates variability, this thesis offers a glimpse into a design practice from the lens of a typographer, type designer, and educator

    Information Preserving Processing of Noisy Handwritten Document Images

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    Many pre-processing techniques that normalize artifacts and clean noise induce anomalies due to discretization of the document image. Important information that could be used at later stages may be lost. A proposed composite-model framework takes into account pre-printed information, user-added data, and digitization characteristics. Its benefits are demonstrated by experiments with statistically significant results. Separating pre-printed ruling lines from user-added handwriting shows how ruling lines impact people\u27s handwriting and how they can be exploited for identifying writers. Ruling line detection based on multi-line linear regression reduces the mean error of counting them from 0.10 to 0.03, 6.70 to 0.06, and 0.13 to 0.02, com- pared to an HMM-based approach on three standard test datasets, thereby reducing human correction time by 50%, 83%, and 72% on average. On 61 page images from 16 rule-form templates, the precision and recall of form cell recognition are increased by 2.7% and 3.7%, compared to a cross-matrix approach. Compensating for and exploiting ruling lines during feature extraction rather than pre-processing raises the writer identification accuracy from 61.2% to 67.7% on a 61-writer noisy Arabic dataset. Similarly, counteracting page-wise skew by subtracting it or transforming contours in a continuous coordinate system during feature extraction improves the writer identification accuracy. An implementation study of contour-hinge features reveals that utilizing the full probabilistic probability distribution function matrix improves the writer identification accuracy from 74.9% to 79.5%

    The Economy Of Typography (the Arrangement or Mode of Operation of Typography)

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    The thesis will show that the current research into legibility and readability regarding certain aspects or characters of type is incomplete, and will demonstrate what further research is necessary to complete the analysis of these aspects or characters in the economy of typography in continuous text. Chapter 1 will show that the development of reading depends on the legibility of the typography and characters ‘recognizing patterns, planning strategy, and feeling’ in other words reading and writing are interdependent all depend in some part on the construction of the characters and their relationship to each other. It will also show that readable writing is desirable and important for the reader’s sake. Chapter 2 will deal with the practical presentation of the characters of what the reading public read, and the role played by legibility and readability of typography in conveying their message. Printers and designers will also have a working knowledge and experience of legibility and readability which is incorporated into typograhy presentations, and this also is taken into account in chapter 2. Chapter 3 reviews the criteria and methods used in typography readability and legibility research. The research will show that readability is the ease with which the eye can absorb the message and move along the line, and legibility is based on the ease with which one letter can be identified from another. Chapter 4 entitled Analysis and Recommendations concludes the thesis with a summary of chapters 1, 2 and 3 before presenting a comparative analysis of current research into legibility, with particular emphasis on misreading or misrecognition of characters, and provides illustrations of the conclusions reached by way of bar chart and tables. Appendix One of the thesis contains a comprehensive list of the research into legibility and readability. Appendix Two contains the graphics of Benjamin Sherbow showing typography layout supportive of type spacing matters discussed in chapter 2. The thesis has an extensive bibliography of the works referred to throughout the thesis

    Off-line Arabic Handwriting Recognition System Using Fast Wavelet Transform

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    In this research, off-line handwriting recognition system for Arabic alphabet is introduced. The system contains three main stages: preprocessing, segmentation and recognition stage. In the preprocessing stage, Radon transform was used in the design of algorithms for page, line and word skew correction as well as for word slant correction. In the segmentation stage, Hough transform approach was used for line extraction. For line to words and word to characters segmentation, a statistical method using mathematic representation of the lines and words binary image was used. Unlike most of current handwriting recognition system, our system simulates the human mechanism for image recognition, where images are encoded and saved in memory as groups according to their similarity to each other. Characters are decomposed into a coefficient vectors, using fast wavelet transform, then, vectors, that represent a character in different possible shapes, are saved as groups with one representative for each group. The recognition is achieved by comparing a vector of the character to be recognized with group representatives. Experiments showed that the proposed system is able to achieve the recognition task with 90.26% of accuracy. The system needs only 3.41 seconds a most to recognize a single character in a text of 15 lines where each line has 10 words on average

    AutoGraff: towards a computational understanding of graffiti writing and related art forms.

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    The aim of this thesis is to develop a system that generates letters and pictures with a style that is immediately recognizable as graffiti art or calligraphy. The proposed system can be used similarly to, and in tight integration with, conventional computer-aided geometric design tools and can be used to generate synthetic graffiti content for urban environments in games and in movies, and to guide robotic or fabrication systems that can materialise the output of the system with physical drawing media. The thesis is divided into two main parts. The first part describes a set of stroke primitives, building blocks that can be combined to generate different designs that resemble graffiti or calligraphy. These primitives mimic the process typically used to design graffiti letters and exploit well known principles of motor control to model the way in which an artist moves when incrementally tracing stylised letter forms. The second part demonstrates how these stroke primitives can be automatically recovered from input geometry defined in vector form, such as the digitised traces of writing made by a user, or the glyph outlines in a font. This procedure converts the input geometry into a seed that can be transformed into a variety of calligraphic and graffiti stylisations, which depend on parametric variations of the strokes
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