Filters








364 Hits in 8.2 sec

Kolibri

Jakob F. Leitner, Florian Perteneder, Can Liu, Christian Rendl, Michael Haller
2013 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems - CHI '13  
The implementation relies on offthe-shelf hardware only. We tested the feasibility and explored the properties of this technique with several studies.  ...  There is a lack of efficient ways to trigger shortcuts. We introduce Kolibri -a pen-based gesture system that allows fast access of commands on interactive whiteboards.  ...  In [12] Guimbretière notes that handwriting input on their interactive whiteboard system tends to be similar in size to a 96pt font.  ... 
doi:10.1145/2470654.2466236 dblp:conf/chi/LeitnerPLRH13 fatcat:ogdi3fm6erd7pgiboaf4jvfbwy

Special features of Interactive Whiteboard software formotivating students

J. Sarsa, R. Soler
2011 International Journal of Information and Education Technology  
This only can be reached if authoring tools develop as far as to achieve programming instructions to run the possibilities of the IWB, such as handwriting recognition, strokes and shapes recognition, finger  ...  approaches that require prior research and training in teachers.  ...  This opinion is reflected in several studies [5] that argue the positive effects of supporting the lessons with visual elements and the influence in metacognition.  ... 
doi:10.7763/ijiet.2011.v1.38 fatcat:zk7mdhkidragppwqi3cic2m6ry

Field typing for improved recognition on heterogeneous handwritten forms [article]

Ciprian Tomoiaga, Patrick Jayet
2019 arXiv   pre-print
Offline handwriting recognition has undergone continuous progress over the past decades.  ...  heterogeneous and out-of-vocabulary content, and to the inherent ambiguities of this content.  ...  We check the convergence and generalization of any model using a validation set. For models trained on RIMES, it consists of the official RIMES test set.  ... 
arXiv:1909.10120v1 fatcat:szrz7ifmkvadzacszlafaqg57y

Markov models for offline handwriting recognition: a survey

Thomas Plötz, Gernot A. Fink
2009 International Journal on Document Analysis and Recognition  
With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic offline handwriting recognition.  ...  First, we will introduce the typical architecture of a Markov-modelbased offline handwriting recognition system and make the reader familiar with the essential theoretical concepts behind Markovian models  ...  observed in a typical set of training data due to its limited size.  ... 
doi:10.1007/s10032-009-0098-4 fatcat:el2rdqroj5dp3bfuvzs2bwx2bm

DeepWriting: Making Digital Ink Editable via Deep Generative Modeling [article]

Emre Aksan, Fabrizio Pece, Otmar Hilliges
2018 arXiv   pre-print
Digital ink promises to combine the flexibility and aesthetics of handwriting and the ability to process, search and edit digital text.  ...  Character recognition converts handwritten text into a digital representation, albeit at the cost of losing personalized appearance due to the technical difficulties of separating the interwoven components  ...  ACKNOWLEDGEMENTS This work was supported in parts by the ERC grant OPTINT (StG-2016-717054). We thank all the participants for their time and efforts in taking part in our experiments.  ... 
arXiv:1801.08379v1 fatcat:whohrzejmnavdjz777ir4rkmnu

A comprehensive survey of handwritten document benchmarks: structure, usage and evaluation

Raashid Hussain, Ahsen Raza, Imran Siddiqi, Khurram Khurshid, Chawki Djeddi
2015 EURASIP Journal on Image and Video Processing  
Like any other scientific domain, the handwriting recognition community has developed a large number of standard databases allowing development, evaluation and comparison of different techniques developed  ...  Handwriting offers a number of interesting pattern classification problems including handwriting recognition, writer identification, signature verification, writer demographics classification and script  ...  M Liwicki, H Bunke, in Proceedings of the 10th International Workshop on Frontiers in Handwriting Recognition. Hmm-based on-line recognition of handwritten whiteboard notes, (2006) 49.  ... 
doi:10.1186/s13640-015-0102-5 fatcat:cvp7kv5vmrddnlrvudn5z4wnnm

EXPERIENCE USING MULTIMEDIA BOARDS FOR VISUALIZATION, CONDUCTING PEDAGOGICAL DISCUSSIONS, DEVELOPING INTERACTIVE EXERCISES FOR PRIMARY SCHOOL

Svitlana Vasylenko
2017 OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY  
The Internet has set a global trend in the getting available and necessary information and contacts fast.  ...  In 2000 the first in a similar series of ten-year studies was conducted, and this 2010 study is the first update to that study.  ...  Its large size and touch sensitivity facilitates ICT learning beyond the standard keyboard-and-mouse type of computer interaction, and its appeal can be used to promote good behavior.  ... 
doi:10.28925/2414-0325.2017.3.17385 fatcat:exk6d35p6ffcnlah3rzorilom4

On Using Entropy for Enhancing Handwriting Preprocessing

Andreas Holzinger, Christof Stocker, Bernhard Peischl, Klaus-Martin Simonic
2012 Entropy  
With the tremendous ubiquity of smartphones, along with the renaissance of the stylus, handwriting recognition has become a new impetus.  ...  However, recognition rates are still not 100% perfect, and researchers still are constantly improving handwriting algorithms.  ...  , Family and Youth (bmwfj), the province of Styria, the Steirische Wirtschaftsfoerderungsgesellschaft mbH (SFG), and the city of Vienna in support of the Center for Innovation and Technology (ZIT).  ... 
doi:10.3390/e14112324 fatcat:2j23kcxyirfzvhpo3rr5nzm2zu

Computational Support for Sketching in Design: A Review

Gabe Johnson, Mark D. Gross, Jason Hong, Ellen Yi-Luen Do
2007 Foundations and Trends® in Human–Computer Interaction  
First, we describe the practical basis of sketching -why people sketch, what significance it has in design and problem solving, and the cognitive activities it supports.  ...  Computational support for sketching is an exciting research area at the intersection of design research, human-computer interaction, and artificial intelligence.  ...  The position and curvature of sketched input is influenced by these images.  ... 
doi:10.1561/1100000013 fatcat:5r74v4r56nasdedplfnemebpw4

Online Handwritten Gurmukhi Character Recognition Using Elastic Matching

Anuj Sharma, Rajesh Kumar, R. K. Sharma
2008 2008 Congress on Image and Signal Processing  
Computers are greatly influencing the lives of human beings and their usage is increasing at a tremendous rate.  ...  We can use the online handwriting recognition process for a quick and natural way of communication between computer and human beings.  ...  Schlapbach and Bunke (2007) presented a language and text independent system to identify the writer of online handwriting captured from a whiteboard.  ... 
doi:10.1109/cisp.2008.297 fatcat:q4zl5vgttraatin3rv4mq7fs7a

A Deep Learning Based Analysis of the Big Five Personality Traits from Handwriting Samples Using Image Processing

Ahmed Elngar, Nikita Jain, Divyanshu Sharma, Himani Negi, Anuj Trehan, Akash Srivastava
2020 Journal of Information Technology Management  
Extensive Research has been done in the field of determining the Personality Traits of a person through handwriting.  ...  We present a dataset that links personality traits to the handwriting features. We then propose our algorithm - consisting of one ANN based model and PersonaNet, a CNN based model.  ...  Applied Psychology, South campus, University of Delhi for assistance with the calculation of the Personality Scores and her valuable insight and inputs on the tests necessary for label generation.  ... 
doi:10.22059/jitm.2020.78884 doaj:5dbec5bc369643a79629986b81fa9d11 fatcat:go3pp4grarendbn6aro3f36ryi

Letter-level Online Writer Identification [article]

Zelin Chen, Hong-Xing Yu, Ancong Wu, Wei-Shi Zheng
2021 arXiv   pre-print
Identification in existing writer-id studies requires a complete document or text, limiting the scalability and flexibility of writer-id in realistic applications.  ...  Extensive comparative experiments demonstrate the effectiveness of the proposed framework.  ...  For setting, the examples of each letter type of each writer were the open-set setting, we traverse all combinations of two, randomly split into training set and testing  ... 
arXiv:2112.02824v1 fatcat:bpoeipcq25hf3et4sfnsd7ar64

Generating Sequences With Recurrent Neural Networks [article]

Alex Graves
2014 arXiv   pre-print
The approach is demonstrated for text (where the data are discrete) and online handwriting (where the data are real-valued).  ...  The resulting system is able to generate highly realistic cursive handwriting in a wide variety of styles.  ...  Acknowledgements Thanks to Yichuan Tang, Ilya Sutskever, Navdeep Jaitly, Geoffrey Hinton and other colleagues at the University of Toronto for numerous useful comments and suggestions.  ... 
arXiv:1308.0850v5 fatcat:tj56tyrk5zhktfkexokc7jdy4i

Fluid interaction with high-resolution wall-size displays

François Guimbretière, Maureen Stone, Terry Winograd
2001 Proceedings of the 14th annual ACM symposium on User interface software and technology - UIST '01  
To validate our design, we built the Stanford Interactive Mural, a 9 Mpixel whiteboard-size screen, evaluated the performance of our proposed menu system FlowMenu, and implemented two applications using  ...  This thesis explores how to bridge the gap between the power provided by current desktop computer interfaces and the fluid use of whiteboards and pin-boards.  ...  handwriting recognition?  ... 
doi:10.1145/502352.502353 fatcat:axkji63l35dm3cgyzdjigkcmlu

Fluid interaction with high-resolution wall-size displays

François Guimbretière, Maureen Stone, Terry Winograd
2001 Proceedings of the 14th annual ACM symposium on User interface software and technology - UIST '01  
To validate our design, we built the Stanford Interactive Mural, a 9 Mpixel whiteboard-size screen, evaluated the performance of our proposed menu system FlowMenu, and implemented two applications using  ...  This thesis explores how to bridge the gap between the power provided by current desktop computer interfaces and the fluid use of whiteboards and pin-boards.  ...  handwriting recognition?  ... 
doi:10.1145/502348.502353 dblp:conf/uist/GuimbretiereSW01 fatcat:dntkfms6njextaouk4nhnfxe3y
« Previous Showing results 1 — 15 out of 364 results