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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
Research article (Biomedical Signal Processing and Control, 2023) · cited 34× · AI/ML
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods
Summary
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods is a scholarly article[1].
Key Facts
Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/exploration-and-analysis-of-on-surface-and-in-air-handwriting-attributes-to-improve-dysgraphia-disorder-diagnosis-in-chi
MLA“Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/exploration-and-analysis-of-on-surface-and-in-air-handwriting-attributes-to-improve-dysgraphia-disorder-diagnosis-in-chi.
BibTeX@misc{4ortxyz_exploration-and-analysis-of-on-surface-and-in-air-handwriting-attributes-to-improve-dysgraphia-disorder-diagnosis-in-chi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods}}, year = {2026}, url = {https://4ort.xyz/entity/exploration-and-analysis-of-on-surface-and-in-air-handwriting-attributes-to-improve-dysgraphia-disorder-diagnosis-in-chi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods — https://4ort.xyz/entity/exploration-and-analysis-of-on-surface-and-in-air-handwriting-attributes-to-improve-dysgraphia-disorder-diagnosis-in-chi (retrieved 2026-05-24)
