Author of the publication

Developmental analysis of consistency in children's handwriting movements using dynamic time warping technology.

, , , and . ICCSE, page 629-634. IEEE, (2016)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

A Structural and Prosodic Analysis of Trisyllabic New Words.. CLSW, volume 10085 of Lecture Notes in Computer Science, page 120-127. Springer, (2016)Embedded Compounding Monosyllabic Morphemes: A Perspective from the Lexical Study and TCFL., and . CLSW, volume 8922 of Lecture Notes in Computer Science, page 3-11. Springer, (2014)On the Interaction Between the Structure and the Prosody of Chinese 1 + 3 Idioms.. CLSW, volume 9332 of Lecture Notes in Computer Science, page 340-351. Springer, (2015)The Statistic Study of Thai Middle School Students' Acquisition in Chinese Negative Structures., and . PCCNT, page 70:1-70:8. ACM, (2023)Developmental analysis of consistency in children's handwriting movements using dynamic time warping technology., , , and . ICCSE, page 629-634. IEEE, (2016)A Study on the Interactive Relationships Between the Formation of Three-Syllable Abbreviations and the Prosody., and . CLSW, volume 9332 of Lecture Notes in Computer Science, page 270-280. Springer, (2015)Signal Processing and Application of Six-axis Force/Torque Sensor Integrated in Humanoid Robot Foot., , , and . J. Signal Process. Syst., 74 (2): 263-271 (2014)Three Registers behind two Characters: an Analysis of the Words' Formation and their Registers., and . CLSW, volume 10709 of Lecture Notes in Computer Science, page 169-179. Springer, (2017)Study on Prosodic Morphology of Chinese Verbal Monosyllabic-Disyllabic Synonyms.. CLSW, volume 8922 of Lecture Notes in Computer Science, page 21-30. Springer, (2014)Attention-Based Convolutional and Recurrent Neural Networks for Driving Behavior Recognition Using Smartphone Sensor Data., , , , , , , and . IEEE Access, (2019)