Instant messaging with emotion-embedded vectorized handwritings on mobile devices
| Autor: | Yu-Chi Lai, Jia-Wei Kuo, Chih-Yuan Yao, Nai-Sheng Syu, Shan-Hsiang Shen |
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| Rok vydání: | 2017 |
| Předmět: |
Multimedia
Biometrics Intelligent character recognition Computer science 02 engineering and technology computer.software_genre Popularity 030507 speech-language pathology & audiology 03 medical and health sciences ComputingMethodologies_PATTERNRECOGNITION Handwriting Signal Processing Pattern recognition (psychology) ComputingMethodologies_DOCUMENTANDTEXTPROCESSING 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Chinese characters 0305 other medical science Mobile device computer Information Systems Instant |
| Zdroj: | EURASIP Journal on Image and Video Processing. 2017 |
| ISSN: | 1687-5281 |
| Popis: | Generally, handwriting can reflect writers’ personality, thoughts, and emotions, i.e., handwriting can deliver emotion- and sincereness-embedded messages. However, texting messages and notes such as emails and instant messages replace handwriting letters and notes in communication due to the popularity and availability of mobile devices and personal computers. Furthermore, the commonly used input methods and devices also limit handwriting messaging. For example, limited mobile screen sizes make writing multiple Chinese characters difficult. As a result, this work aims at designing and developing a handwriting messaging system based on our handwriting characteristic exploration and texting-handwriting difference discovery. We first discover Chinese texting issues for mobile devices and emotion-delivered effectiveness of handwriting with pilot studies. Then, our emotion-embedded handwriting messaging framework is implemented to record writing strokes on the entire touch screen, vectorize them as Bezier curves, and send them as instant messages. Vectorizing strokes can preserve personal and emotional handwriting features with compact networking traffic without deteriorating the convenience of instant messaging. Finally, we conduct user studies to verify that our handwriting messaging system is preferred while intending to deliver contents with sincerity and emotion. |
| Databáze: | OpenAIRE |
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