LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 2 of total 2

Search options

  1. Article ; Online: Processing Real-Life Recordings of Facial Expressions of Polish Sign Language Using Action Units.

    Irasiak, Anna / Kozak, Jan / Piasecki, Adam / Stęclik, Tomasz

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 1

    Abstract: Automatic translation between the national language and sign language is a complex process similar to translation between two different foreign languages. A very important aspect is the precision of not only manual gestures but also facial expressions, ... ...

    Abstract Automatic translation between the national language and sign language is a complex process similar to translation between two different foreign languages. A very important aspect is the precision of not only manual gestures but also facial expressions, which are extremely important in the overall context of a sentence. In this article, we present the problem of including facial expressions in the automation of Polish-to-Polish Sign Language (PJM) translation-this is part of an ongoing project related to a comprehensive solution allowing for the animation of manual gestures, body movements and facial expressions. Our approach explores the possibility of using action unit (AU) recognition in the automatic annotation of recordings, which in the subsequent steps will be used to train machine learning models. This paper aims to evaluate entropy in real-life translation recordings and analyze the data associated with the detected action units. Our approach has been subjected to evaluation by experts related to Polish Sign Language, and the results obtained allow for the development of further work related to automatic translation into Polish Sign Language.
    Language English
    Publishing date 2023-01-06
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25010120
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: MAINE: a web tool for multi-omics feature selection and rule-based data exploration.

    Gruca, Aleksandra / Henzel, Joanna / Kostorz, Iwona / Stęclik, Tomasz / Wróbel, Łukasz / Sikora, Marek

    Bioinformatics (Oxford, England)

    2021  Volume 38, Issue 6, Page(s) 1773–1775

    Abstract: Summary: Patient multi-omics datasets are often characterized by a high dimensionality; however, usually only a small fraction of the features is informative, that is change in their value is directly related to the disease outcome or patient survival. ... ...

    Abstract Summary: Patient multi-omics datasets are often characterized by a high dimensionality; however, usually only a small fraction of the features is informative, that is change in their value is directly related to the disease outcome or patient survival. In medical sciences, in addition to a robust feature selection procedure, the ability to discover human-readable patterns in the analyzed data is also desirable. To address this need, we created MAINE-Multi-omics Analysis and Exploration. The unique functionality of MAINE is the ability to discover multidimensional dependencies between the selected multi-omics features and event outcome prediction as well as patient survival probability. Learned patterns are visualized in the form of interpretable decision/survival trees and rules.
    Availability and implementation: MAINE is freely available at maine.ibemag.pl as an online web application.
    Supplementary information: Supplementary data are available at Bioinformatics online.
    MeSH term(s) Humans ; Multiomics ; Maine ; Software
    Language English
    Publishing date 2021-12-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1422668-6
    ISSN 1367-4811 ; 1367-4803
    ISSN (online) 1367-4811
    ISSN 1367-4803
    DOI 10.1093/bioinformatics/btab862
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top