Abstract
In this paper the use of handwriting for health investigation is addressed. For the purpose, the paper first presents the Delta-Log and Sigma-Log models to investigate on the handwriting generation processes carried out by the neuromuscular system. Successively, a computational system for handwriting analysis is presented and some considerations are exploited about the use of the model to investigate insurgence and monitoring of some neuromuscular diseases. The experimental results show the validity of the proposed approach and highlight some directions for further research.
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Acknowledgment
The authors thank Dr. Pietro Schino, President of Bari Alzheimer Center, for his grant in the database developing.
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Impedovo, D. et al. (2014). Writing Generation Model for Health Care Neuromuscular System Investigation. In: Formenti, E., Tagliaferri, R., Wit, E. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2013. Lecture Notes in Computer Science(), vol 8452. Springer, Cham. https://doi.org/10.1007/978-3-319-09042-9_10
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DOI: https://doi.org/10.1007/978-3-319-09042-9_10
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