Reasoning about naming systems
ACM Transactions on Programming Languages and Systems (TOPLAS)
A Robotic Teacher of Chinese Handwriting
HAPTICS '02 Proceedings of the 10th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
A Visuo-Haptic Device - Telemaque - Increases Kindergarten Children's Handwriting Acquisition
WHC '07 Proceedings of the Second Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
A quality of experience model for haptic user interfaces
Proceedings of the 2008 Ambi-Sys workshop on Haptic user interfaces in ambient media systems
DIBHR: Depth Image-Based Haptic Rendering
EuroHaptics '08 Proceedings of the 6th international conference on Haptics: Perception, Devices and Scenarios
A networked virtual environment for teaching handwritten characters through shared haptisation
International Journal of Business Intelligence and Data Mining
Improving Children's Writing Ability
Proceedings of the 13th International Conference on Human-Computer Interaction. Part IV: Interacting in Various Application Domains
Preliminary study on haptic approach in learning jawi handwriting skills
IVIC'11 Proceedings of the Second international conference on Visual informatics: sustaining research and innovations - Volume Part II
Proceedings of the 20th ACM international conference on Multimedia
Towards the development of haptic-based interface for teaching visually impaired arabic handwriting
Proceedings of the 15th International ACM SIGACCESS Conference on Computers and Accessibility
Multimedia Tools and Applications
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In this paper, we describe a multimedia system for learning handwriting and pronunciation of alphabet letters or characters in different languages. This system provides haptic, audio and visual information according to the desired letter or character chosen by a user. Letters or characters from the Arabic, English, French, Japanese, and Spanish languages have been considered, although the system utilizes an XML-based schema to easily introduce new characters from another language. Three different modes of learning can be chosen in terms of haptic information: full guidance, partial guidance and a no guidance mode (no haptic feedback). The full guidance guides the user to follow a pre-recorded letter trajectory; whereas in partial guidance, a user can freely follow a letter-drawing path, but if the user deviates significantly, the system automatically brings him/her back to the optimal displayed path. The no guidance mode allows users to perform letter handwriting with only visual information. This system guides users to write a character, in a similar way as a teacher holds a student.s hand. Moreover, the character trajectory is displayed as the user is performing it. The results of this system evaluation show its potential as a virtual tool for learning handwriting.