Abstract | ||
---|---|---|
Most existing systems use portable devices or image processing techniques for handwritten Chinese character recognition (HCCR), which are unable to detect character when writing on a paper or sensitive to lighting conditions. In this article, we present the design, implementation, and evaluation of a smartwatch-based HCCR system, called SmartHandwriting. To segment each Chinese character, we furth... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/JIOT.2019.2947448 | IEEE Internet of Things Journal |
Keywords | Field | DocType |
Sensors,Character recognition,Writing,Wrist,Handwriting recognition,Angular velocity,Gyroscopes | Character recognition,Computer science,Human–computer interaction,Smartwatch,Distributed computing | Journal |
Volume | Issue | ISSN |
7 | 2 | 2327-4662 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jian Zhang | 1 | 15 | 5.80 |
Hongliang Bi | 2 | 0 | 1.35 |
Yanjiao Chen | 3 | 48 | 14.98 |
Mingyu Wang | 4 | 135 | 24.90 |
Liming Han | 5 | 0 | 0.68 |
Ligan Cai | 6 | 0 | 0.34 |