Handwriting and Drawing for Depression Detection: A Preliminary Study-Reference-Cited by-同舟云学术

Handwriting and Drawing for Depression Detection: A Preliminary Study

Published:2022 Issue: Volume: Page:320-332
ISSN:1865-0929
Container-title:Applied Intelligence and Informatics
language:
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Author:

Raimo Gennaro^ORCID,Buonanno Michele,Conson Massimiliano^ORCID,Cordasco Gennaro^ORCID,Faundez-Zanuy Marcos^ORCID,McConvey Gavin,Marrone Stefano^ORCID,Marulli Fiammetta^ORCID,Vinciarelli Alessandro^ORCID,Esposito Anna^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-24801-6_23

Reference24 articles.

1. Al Maadeed, S., Hassaine, A.: Automatic prediction of age, gender, and nationality in offline handwriting. EURASIP J. Image Video Process. 2014(1), 1–10 (2014). https://doi.org/10.1186/1687-5281-2014-10

2. Bottesi, G., Ghisi, M., Altoè, G., Conforti, E., Melli, G., Sica, C.: The Italian version of the depression anxiety stress scales-21: factor structure and psychometric properties on community and clinical samples. Compr. Psychiatry 60, 170–181 (2015)

3. Cordasco, G., Buonanno, M., Faundez-Zanuy, M., Riviello, M.T., Likforman-Sulem, L., Esposito, A.: Gender identification through handwriting: an online approach. In: 2020 11th IEEE International Conference on Cognitive Infocommunications (CogInfoCom), pp. 000197–000202. IEEE (2020)

4. Smart Innovation, Systems and Technologies;G Cordasco,2019

5. Depression, W.: Other common mental disorders: global health estimates. Geneva: World Health Organization 24 (2017)

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1. Drawing as a window to emotion with insights from tech-transformed participant images;Scientific Reports;2024-05-21

2. Discriminative Power of Handwriting and Drawing Features in Depression;International Journal of Neural Systems;2023-11-24