Handwriting beautification based on analysis of smartphone sensor data

• Main Author: 熊星皓
• Other Authors: 王昱舜
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/r3vcy9

碩士 === 國立交通大學 === 多媒體工程研究所 === 103 === In modern information age, smartphones are common commodities for most people. There are many sensors in the smartphone, these sensors store useful information between people’s behavior and smartphones. And in recent years, smartphone handwriting trajectory input methods are more common. Smartphone users are using their phones in different situations(For examples, walking, jogging, riding the bus, etc.). When people use smartphones to enter handwriting trajectory information, the unstable situations may cause difficulty in processing these handwriting trajectory information. We hope to use our existing visualization tool to analyze the relation between sensors and unrecognizable handwriting trajectory information. To help us observe the relation between handwriting trajectory information and smartphone sensor data immediately, we also implement the presentation of our existing visualization tool on smartphones. In addition, we collect the handwritten user data of users in the unsteady situations. Base on the observations of the environment and processed data, we can present the trend of the relation between the smartphone sensor and the touch position. We demonstrate our smooth method and regression model to beautify handwriting.