Book
Sign H3re: Symbol and X-Mark Writer Identification Using Audio and Motion Data from a Digital Pen
| العنوان: | Sign H3re: Symbol and X-Mark Writer Identification Using Audio and Motion Data from a Digital Pen |
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| المؤلفون: | Schrapel, Maximilian, Grannemann, Dennis, Rohs, Michael, Mühlhäuser, Max |
| المصدر: | MuC '22: Proceedings of Mensch und Computer 2022 |
| بيانات النشر: | Association for Computing Machinery |
| سنة النشر: | 2022 |
| المجموعة: | Institutional Repository of Leibniz Universität Hannover |
| مصطلحات موضوعية: | accessibility, digital pens, handwriting recognition, motor impairments, pattern recognition, signature authentication, signing documents, ddc:004, Konferenzschrift |
| الوصف: | Although in many cases contracts can be made or ended digitally, laws require handwritten signatures in certain cases. Forgeries are a major challenge with digital contracts, as their validity is not always immediately apparent without forensic methods. Illiteracy or disabilities may result in a person being unable to write their full name. In this case x-mark signatures are used, which require a witness for validity. In cases of suspected fraud, the relationship of the witnesses must be questioned, which involves a great amount of effort. In this paper we use audio and motion data from a digital pen to identify users via handwritten symbols. We evaluated the performance our approach for 19 symbols in a study with 30 participants. We found that x-marks offer fewer individual features than other symbols like arrows or circles. By training on three samples and averaging three predictions we reach a mean F1-score of F1 = 0.87, using statistical and spectral features fed into SVMs. |
| نوع الوثيقة: | book part |
| اللغة: | English |
| ردمك: | 978-1-4503-9690-5 1-4503-9690-9 |
| Relation: | http://dx.doi.org/10.15488/17697; https://www.repo.uni-hannover.de/handle/123456789/17830 |
| DOI: | 10.15488/17697 |
| الاتاحة: | https://www.repo.uni-hannover.de/handle/123456789/17830 https://doi.org/10.15488/17697 |
| Rights: | CC BY 4.0 Unported ; https://creativecommons.org/licenses/by/4.0/ ; frei zugänglich |
| رقم الانضمام: | edsbas.2081E2B2 |
| قاعدة البيانات: | BASE |
| ردمك: | 9781450396905 1450396909 |
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| DOI: | 10.15488/17697 |