Measuring the tilt and slant of Chinese handwriting in primary school students: A computerized approach


Autoři: Monica M. Q. Li aff001;  Howard Leung aff001;  Tim M. H. Li aff002;  Cecilia W. P. Li-Tsang aff002
Působiště autorů: Department of Computer Science, City University of Hong Kong, Kowloon Tong, Hong Kong aff001;  Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hung Hom, Hong Kong aff002
Vyšlo v časopise: PLoS ONE 14(11)
Kategorie: Research Article
doi: 10.1371/journal.pone.0223485

Souhrn

Background

“Horizontal strokes should be level and vertical strokes should be straight” is a common guideline in the teaching of Chinese handwriting. Measuring deviations in level horizontal and straight vertical strokes in students’ Chinese handwriting is usually assessed manually. However, this task is time-consuming and may have inconsistent outcomes when judged by different people. In this paper, we aim to formulate a method to automatically evaluate the tilt and slant degrees of students’ Chinese handwriting using digital handwriting tablets. Furthermore, we analyze the relationship between the tilt and slant features of students’ Chinese handwriting and other demographic and handwriting features.

Methods

Five hundred and ninety-one primary school students from grades 1 to 6 were recruited in Hong Kong. Before the assessment, a grid paper was attached to a digital handwriting tablet. The participants were then asked to copy 90 Chinese characters from a template to the grid paper. Their handwriting processes were recorded as two-dimensional points and then analyzed. The tilt and slant of the students’ handwriting were calculated based on the inclination level of their horizontal and vertical strokes. Linear regressions between slant/tilt degree of the manuscripts and other handwriting features were performed. The students’ demographic information was also explored.

Results

Slant was found to be significantly correlated to Gender (p < 0.001) and tilt×standard deviation of pen pressure (p < 0.001). Tilt was found to be significantly correlated to ground time (p < 0.001), slant (p < 0.001) and slant×special education need (p = 0.021).

Conclusions

Our results demonstrate the relationship between slant, tilt and Chinese handwriting performance in primary school children. Slant and tilt can be adopted as an indicator in students’ special education need diagnosis, as tilt level in the students’ Chinese handwriting was related to ground time and slant× special education need, while slant is related to tilt×standard deviation of pen pressure and female students. These findings may also inspire ways to increase special education need students’ writing speed.

Klíčová slova:

Hong Kong – Human learning – Children – Chinese people – Schools – stroke


Zdroje

1. Hilton O. Scientific examination of questioned documents [Internet]. Rev. ed. New York: Elsevier; 1982. Available: https://trove.nla.gov.au/version/45538089

2. Mather N, Roberts R. Informal assessment and instruction in written language: a practitioner’s guide for students with learning disabilities. J. Wiley; 1995.

3. Rubin N, Henderson SE. Two sides of the same coin: variations in teaching methods and failure to learn to write. Spec Educ Forward Trends. 1982;9: 7–24. 7157059

4. Larsen SC, Hammill DD. Test of legible handwriting: an ecological approach to holistic assessment. Austin, Tex.: Pro-Ed; 1989.

5. Phelps J, Stempel L, Speck G. The Children’s Handwriting Scale: A new diagnostic tool. The Journal of Educational Research. 1985;79: 46–50. doi: 10.1080/00220671.1985.10885646

6. Zhang J. On the Chinese Writing Says in the Smooth Vertical and Horizontal. The Science Education Article Collects. 2011; 69–70.

7. The Unicode Consortium. The Unicode Standard, Version 10.0. Mountain View, CA: The Unicode Consortium; 2017.

8. Brink AA, Niels RMJ, van Batenburg RA, van den Heuvel CE, Schomaker LRB. Towards Robust Writer Verification by Correcting Unnatural Slant. Pattern Recogn Lett. 2011;32: 449–457. doi: 10.1016/j.patrec.2010.10.010

9. Leung SC, Chung MWL, Tsui CK, Cheung WL, Cheung SYL, Mok MMC. A comparative approach to the examination of Chinese handwriting Part 2—Measurable parameters. Journal of the Forensic Science Society. 1987;27: 157–173. doi: 10.1016/S0015-7368(87)72733-9

10. Sirchie Handwriting Letter Slant and Comparison Plate [Internet]. [cited 31 Jan 2019]. Available: https://www.adorama.com/si373h.html

11. Amin A, Fischer S. A Document Skew Detection Method Using the Hough Transform. Pattern Analysis & Applications. 2000;3: 243–253. doi: 10.1007/s100440070009

12. Yamaguchi T, Nakano Y, Maruyama M, Miyao H, Hananoi T. Digit classification on signboards for telephone number recognition. Seventh International Conference on Document Analysis and Recognition, 2003 Proceedings. 2003. pp. 359–363 vol.1. doi: 10.1109/ICDAR.2003.1227689

13. Yamaguchi T, Maruyama M, Miyao H, Nakano Y. Digit recognition in a natural scene with skew and slant normalization. IJDAR. 2005;7: 168–177. doi: 10.1007/s10032-004-0136-1

14. Hayashi S, Shikyu S, Tamai K, Fukumoto H, Kuroda H. Correction of tilt distortion of character string on the plane input camera. Record of Joint Conference of Electrical and Electronics Engineers in Kyushu; 2006. pp. 175–175. doi: 10.11527/jceeek.2006.0.175.0

15. Jipeng Tian, Kumar GH Chethan HK. Skew correction for Chinese character using Hough transform. International Journal of Advanced Computer Science and Applications. 2011;1. doi: 10.14569/SpecialIssue.2011.010106

16. Shiku O, Teshima Y, Uchida S. Character Normalization Method for Recognizing Slanted Characters. D—Abstracts of IEICE TRANSACTIONS on Information and Systems (Japanese Edition). 2017;J100-D: 902–906.

17. Hamanaka M, Yamada K, Tsukumo J. On-line Japanese character recognition experiments by an off-line method based on normalization-cooperated feature extraction. Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR ‘93). 1993. pp. 204–207. doi: 10.1109/ICDAR.1993.395748

18. Nakai M, Akira N, Shimodaira H, Sagayama S. Substroke approach to HMM-based on-line Kanji handwriting recognition. Proceedings of Sixth International Conference on Document Analysis and Recognition. 2001. pp. 491–495. doi: 10.1109/ICDAR.2001.953838

19. Ding Y, Okada M, Kimura F, Miyake Y. Application of slant correction to handwritten Japanese address recognition. Proceedings of Sixth International Conference on Document Analysis and Recognition. 2001. pp. 670–674. doi: 10.1109/ICDAR.2001.953874

20. Bozinovic RM, Srihari SN. Off-Line Cursive Script Word Recognition. IEEE Trans Pattern Anal Mach Intell. 1989;11: 68–83. doi: 10.1109/34.23114

21. Kimura F, Shridhar M, Chen Z. Improvements of a lexicon directed algorithm for recognition of unconstrained handwritten words. 1993. pp. 18–22. doi: 10.1109/ICDAR.1993.395791

22. Britto AD, Sabourin R, Lethelier E, Bortolozzi F, Suen CY, Andrade PS, et al. Slant Normalization of Handwritten Numeral Strings. Curitiba, Brasil; 1999.

23. Rosenblum S. Inter-relationships between objective handwriting features and executive control among children with developmental dysgraphia. PLOS ONE. 2018;13: e0196098. doi: 10.1371/journal.pone.0196098 29689111

24. Danna J, Paz-Villagrán V, Gondre C, Aramaki M, Kronland-Martinet R, Ystad S, et al. “Let Me Hear Your Handwriting!” Evaluating the Movement Fluency from Its Sonification. PLOS ONE. 2015;10: e0128388. doi: 10.1371/journal.pone.0128388 26083384

25. Pendo Technology China Corporation. FCC ID 2AI7G-PH1410 Digit-Note by Pendo Technology China Corporation. In: FCC ID [Internet]. [cited 19 Feb 2019]. Available: https://fccid.io/2AI7G-PH1410

26. Poon WY, Hong PM. A Study of the Chinese Characters Recommended for the Subject of Chinese Language in Primary Schools. Hong Kong Baptist University Language Centre; 2003.

27. Leung SC, Cheung WL, Fung HT, Cheung YL. A comparative approach to the examination of Chinese handwriting: Part 5- Qualitative parametrs. Journal of the Forensic Science Society. 1993;33: 9–19. doi: 10.1016/S0015-7368(93)72943-6

28. Sassoon R, Nimmo-Smith I, Wing AM. Developing efficiency in cursive handwriting: an analysis of ‘t’ crossing behaviour in children. Computer Recognition and Human Production of Handwriting. WORLD SCIENTIFIC; 1989. pp. 287–297. doi: 10.1142/9789814434195_0020

29. Ziviani J, Elkins J. An Evaluation of Handwriting Performance. Educational Review. 1984;36: 249–261. doi: 10.1080/0013191840360304

30. Mojet J. Characteristics of the developing handwriting skill in elementary. Development of Graphic Skills: Research, Perspectives and Educational Implications. London: Academic Press; 1991. pp. 53–75.

31. Garbellini S, Robert Y, Randall M, Elliott C, Imms C. Rationale for prescription, and effectiveness of, upper limb orthotic intervention for children with cerebral palsy: a systematic review. Disability and rehabilitation. 2018 Jun 5;40(12):1361–71. doi: 10.1080/09638288.2017.1297498 28286982

32. Tangsrud SE, Halvorsen S. Child neuromuscular disease in Southern Norway: Prevalence, age and distribution of diagnosis with special reference to “non‐Duchenne muscular dystrophy”. Clinical genetics. 1988 Sep;34(3):145–52 doi: 10.1111/j.1399-0004.1988.tb02854.x 3263224

33. Simner ML. The grammar of action and children’s printing. Developmental Psychology. 1981;17: 866–871. doi: 10.1037/0012-1649.17.6.866

34. Simner ML. The grammar of action and reversal errors in children’s printing. Developmental Psychology. 1984;20: 136–142. doi: 10.1037/0012-1649.20.1.136

35. Tarnopol M, Feldman N. Handwriting and school achievement: A cross-cultural study. Handwriting: Theory, Research, and Practice. London: Croom Helm; 1987.

36. Meulenbroek RGJ, Van Galen GP. The production of connecting strokes in cursive writing: developing co-articulation in 8 to 12 year-old children. Computer Recognition and Human Production of Handwriting. WORLD SCIENTIFIC; 1989. pp. 273–286. doi: 10.1142/9789814434195_0019

37. Nihei Y. Developmental change in covert principles for the organization of strokes in drawing and handwriting. Acta Psychologica. 1983;54: 221–232. doi: 10.1016/0001-6918(83)90036-7 6666650

38. Hamstra-Bletz L, Blöte AW. Development of handwriting in primary school: a longitudinal study. Percept Mot Skills. 1990;70: 759–770. doi: 10.2466/pms.1990.70.3.759 2377407


Článek vyšel v časopise

PLOS One


2019 Číslo 11