dc.contributor.advisor |
Nguyen, Sinh Hoa |
|
dc.contributor.author |
Adamczyk, Maciej |
|
dc.date.accessioned |
2020-10-01T08:36:54Z |
|
dc.date.available |
2020-10-01T08:36:54Z |
|
dc.date.issued |
2020 |
|
dc.identifier.citation |
Analysis and Recognition of Polish Sign Language [Praca dyplomowa] / Maciej Adamczyk ; prom. Sinh Hoa Nguyen. Warszawa : Polsko-Japońska Akademia Technik Komputerowych, 2020. |
pl_PL |
dc.identifier.uri |
https://repin.pjwstk.edu.pl/xmlui/handle/186319/270 |
|
dc.description |
Promotor: Sinh Hoa Nguyen | Wydział: Informatyka | Katedra: Systemy Inteligentne | Specjalizacja: Inteligentne systemy przetwarzania danych | D | praca inżynierska. |
pl_PL |
dc.description.abstract |
[...] The purpose of this thesis is to ease the communication between the Deaf and Hearing. During the work, I focused on letters from Polish Sign Language alphabet and digits 1, 2, 3, 4, 5. I used my own feature transformation, selection methods and
applied techniques such as neural networks to classify signs [...] In the thesis I focused on static images. For better sign language recognition one should use a
dataset in the form of videos. That is because it is impossible to classify all signs only from static images. |
en |
dc.language.iso |
other |
en |
dc.publisher |
Polsko-Japońska Akademia Technik Komputerowych |
pl_PL |
dc.subject |
Polish Sign Language |
en |
dc.subject |
Recognition |
en |
dc.subject |
Gestures |
en |
dc.title |
Analiza i rozpoznawanie polskiego języka migowego |
pl_PL |
dc.title.alternative |
Analysis and Recognition of Polish Sign Language |
en |
dc.type |
Thesis |
en |