Authorial approach to the detection of selected psychological traits based on handwritten texts
The study sought to use computer techniques to detect selected psychological traits based on the nature of the writing and to evaluate the effectiveness of the resulting software. Digital image processing and deep neural networks were used. The work is complex and multidimensional in nature, and the...
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| Format: | Article |
| Language: | English |
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Polish Academy of Sciences
2024-03-01
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| Series: | International Journal of Electronics and Telecommunications |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/130703/17-4456-Woda-sk.pdf |
| _version_ | 1797242598442663936 |
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| author | Marek Woda Grzegorz Oliwa |
| author_facet | Marek Woda Grzegorz Oliwa |
| author_sort | Marek Woda |
| collection | DOAJ |
| description | The study sought to use computer techniques to detect selected psychological traits based on the nature of the writing and to evaluate the effectiveness of the resulting software. Digital image processing and deep neural networks were used. The work is complex and multidimensional in nature, and the authors wanted to demonstrate the feasibility of such a topic using image processing techniques and neural networks and machine learning. The main studies that allowed the attribution of psychological traits were based on two models known from the literature, KAMR and DA. The evaluation algorithms that were implemented allowed the evaluation of the subjects and the assignment of psychological traits to them. The DA model turned out to be more effective than the KAMR model. |
| first_indexed | 2024-04-24T18:41:46Z |
| format | Article |
| id | doaj.art-2d04987bef08421a86867abb8c142673 |
| institution | Directory Open Access Journal |
| issn | 2081-8491 2300-1933 |
| language | English |
| last_indexed | 2024-04-24T18:41:46Z |
| publishDate | 2024-03-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | International Journal of Electronics and Telecommunications |
| spelling | doaj.art-2d04987bef08421a86867abb8c1426732024-03-27T11:06:12ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332024-03-01vol. 70No 1145152https://doi.org/10.24425/ijet.2024.149524Authorial approach to the detection of selected psychological traits based on handwritten textsMarek Woda0Grzegorz OliwaDepartment of Computer Engineering, WroclawUniversity of Technology, PolandThe study sought to use computer techniques to detect selected psychological traits based on the nature of the writing and to evaluate the effectiveness of the resulting software. Digital image processing and deep neural networks were used. The work is complex and multidimensional in nature, and the authors wanted to demonstrate the feasibility of such a topic using image processing techniques and neural networks and machine learning. The main studies that allowed the attribution of psychological traits were based on two models known from the literature, KAMR and DA. The evaluation algorithms that were implemented allowed the evaluation of the subjects and the assignment of psychological traits to them. The DA model turned out to be more effective than the KAMR model.https://journals.pan.pl/Content/130703/17-4456-Woda-sk.pdfpredictionhandwritten textspersonality traitsmachine learningneural networks |
| spellingShingle | Marek Woda Grzegorz Oliwa Authorial approach to the detection of selected psychological traits based on handwritten texts International Journal of Electronics and Telecommunications prediction handwritten texts personality traits machine learning neural networks |
| title | Authorial approach to the detection of selected psychological traits based on handwritten texts |
| title_full | Authorial approach to the detection of selected psychological traits based on handwritten texts |
| title_fullStr | Authorial approach to the detection of selected psychological traits based on handwritten texts |
| title_full_unstemmed | Authorial approach to the detection of selected psychological traits based on handwritten texts |
| title_short | Authorial approach to the detection of selected psychological traits based on handwritten texts |
| title_sort | authorial approach to the detection of selected psychological traits based on handwritten texts |
| topic | prediction handwritten texts personality traits machine learning neural networks |
| url | https://journals.pan.pl/Content/130703/17-4456-Woda-sk.pdf |
| work_keys_str_mv | AT marekwoda authorialapproachtothedetectionofselectedpsychologicaltraitsbasedonhandwrittentexts AT grzegorzoliwa authorialapproachtothedetectionofselectedpsychologicaltraitsbasedonhandwrittentexts |