A Neural Network for Automatic Handwriting Extraction and Recognition in Psychodiagnostic Questionnaires

Giulia Avis, Fabio D’Adda, Fabio D’Adda, David Chieregato, Elia Guarnieri, Elia Guarnieri, Maria Meliante, Andrea Pierotti, Andrea Pierotti, Marco Cremaschi

2024

Abstract

This paper presents PANTHER, a neural network model for automatic handwriting extraction and recognition in psychodiagnostic questionnaires. Psychodiagnostic tools are essential for assessing and monitoring mental health conditions, but they often rely on pen-and-paper administration, which poses several challenges for data collection and analysis. PANTHER aims to address this problem by using a convolutional neural network to classify scanned questionnaires into their respective types and extract the patient’s responses from the handwritten annotations. The model is trained and evaluated on a dataset of five questionnaires commonly used in psychological and psychiatric settings, achieving high accuracy and similarity scores. The paper also describes the creation of an open-source library based on PANTHER, which can be integrated into a digital platform for delivering psychological services. This paper contributes to the field of computer vision and psychological assessment by providing a novel and effective solution for digitising pen-and-paper questionnaires.

Paper Citation

in Harvard Style

Avis G., D’Adda F., Chieregato D., Guarnieri E., Meliante M., Pierotti A. and Cremaschi M. (2024). A Neural Network for Automatic Handwriting Extraction and Recognition in Psychodiagnostic Questionnaires. In Proceedings of the 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE; ISBN 978-989-758-700-9, SciTePress, pages 140-151. DOI: 10.5220/0012587600003699

in Bibtex Style

@conference{ict4awe24,
author={Giulia Avis and Fabio D’Adda and David Chieregato and Elia Guarnieri and Maria Meliante and Andrea Pierotti and Marco Cremaschi},
title={A Neural Network for Automatic Handwriting Extraction and Recognition in Psychodiagnostic Questionnaires},
booktitle={Proceedings of the 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE},
year={2024},
pages={140-151},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012587600003699},
isbn={978-989-758-700-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE
TI - A Neural Network for Automatic Handwriting Extraction and Recognition in Psychodiagnostic Questionnaires
SN - 978-989-758-700-9
AU - Avis G.
AU - D’Adda F.
AU - Chieregato D.
AU - Guarnieri E.
AU - Meliante M.
AU - Pierotti A.
AU - Cremaschi M.
PY - 2024
SP - 140
EP - 151
DO - 10.5220/0012587600003699
PB - SciTePress