Search
Publication Authors

Prof. Dr. Didier Stricker

Dr. Alain Pagani

Dr. Gerd Reis

Eric Thil

Keonna Cunningham

Dr. Oliver Wasenmüller

Dr. Muhammad Zeshan Afzal

Dr. Gabriele Bleser

Dr. Muhammad Jameel Nawaz Malik

Dr. Bruno Mirbach

Dr. Jason Raphael Rambach

Dr. Nadia Robertini

Dr. René Schuster

Dr. Bertram Taetz

Ahmed Aboukhadra

Sk Aziz Ali

Mhd Rashed Al Koutayni

Yuriy Anisimov

Muhammad Asad Ali

Jilliam Maria Diaz Barros

Ramy Battrawy
Katharina Bendig
Hammad Butt

Mahdi Chamseddine
Chun-Peng Chang

Steve Dias da Cruz
Fangwen Shu

Torben Fetzer

Ahmet Firintepe

Sophie Folawiyo

David Michael Fürst
Anshu Garg

Christiano Couto Gava
Suresh Guttikonda

Tewodros Amberbir Habtegebrial

Simon Häring

Khurram Azeem Hashmi

Dr. Anna Katharina Hebborn

Hamoun Heidarshenas
Henri Hoyez

Alireza Javanmardi
M.Sc. Sai Srinivas Jeevanandam

Jigyasa Singh Katrolia

Matin Keshmiri

Andreas Kölsch
Ganesh Shrinivas Koparde
Onorina Kovalenko

Stephan Krauß
Paul Lesur

Michael Lorenz

Dr. Markus Miezal

Mina Ameli

Nareg Minaskan Karabid

Mohammad Minouei

Shashank Mishra

Pramod Murthy

Mathias Musahl
Peter Neigel

Manthan Pancholi

Mariia Podguzova

Praveen Nathan
Qinzhuan Qian
Rishav

Marcel Rogge
María Alejandra Sánchez Marín
Dr. Kripasindhu Sarkar

Alexander Schäfer

Pascal Schneider

Dr. Mohamed Selim

Tahira Shehzadi
Lukas Stefan Staecker

Yongzhi Su

Xiaoying Tan

Shaoxiang Wang
Christian Witte

Yaxu Xie

Vemburaj Yadav

Dr. Vladislav Golyanik

Dr. Aditya Tewari

André Luiz Brandão
Publication Archive
New title
- ActivityPlus
- AlterEgo
- AR-Handbook
- ARVIDA
- Auroras
- AVILUSplus
- Be-greifen
- Body Analyzer
- CAPTURE
- Co2Team
- COGNITO
- DAKARA
- Density
- DYNAMICS
- EASY-IMP
- ENNOS
- Eyes Of Things
- iACT
- IMCVO
- IVMT
- LARA
- LiSA
- Marmorbild
- Micro-Dress
- Odysseus Studio
- On Eye
- OrcaM
- PAMAP
- PROWILAN
- ServiceFactory
- STREET3D
- SUDPLAN
- SwarmTrack
- TuBUs-Pro
- VIDETE
- VIDP
- VisIMon
- VISTRA
- VIZTA
- You in 3D
Seamless Integration of Handwriting Recognition into Pen-Enabled Displays for Fast User Interaction
Seamless Integration of Handwriting Recognition into Pen-Enabled Displays for Fast User Interaction
Marcus Liwicki, Markus Weber, Tobias Zimmermann, Andreas Dengel
10th IAPR International Workshop on Document Analysis Systems IAPR International Workshop on Document Analysis Systems (DAS-10)
- Abstract:
- This paper proposes a framework for the integration of handwriting recognition into natural user interfaces. As more and more pen-enabled touch displays are available, we make use of the distinction between touch actions and pen actions. Furthermore, we apply a recently introduced mode detection approach to distinguish between handwritten strokes and graphics drawn with the pen. These ideas are implemented in the Touch & Write SDK which can be used for various applications. In order to evaluate the effectiveness of our approach, we have conducted experiments for an annotation scenario. We asked several users to mark and label several objects in videos. We have measured the labeling time when using our novel user interaction system and compared it to the time needed when using common labeling tools. Furthermore, we compare our handwritten input paradigm to other existing systems. It turns out that the annotation is performed much faster when using our method and the user experience is also much better.