Automatic Evaluation of Speech Therapy Exercises Based on Image Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F19%3A00508623" target="_blank" >RIV/67985556:_____/19:00508623 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-030-27202-9_36" target="_blank" >http://dx.doi.org/10.1007/978-3-030-27202-9_36</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-27202-9_36" target="_blank" >10.1007/978-3-030-27202-9_36</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Automatic Evaluation of Speech Therapy Exercises Based on Image Data

Popis výsledku v původním jazyce

The presented paper proposes a new method for unique automatic evaluation of speech therapy exercises, one part of the future software system for speech therapy support. The method is based on the detection of the lips and tongue movements, which will help to evaluate the quality of the exercise implementation. Four different types of exercises are introduced and the corresponding features, capturing the quality of the movements, are shown. The method was tested using manually annotated data and the proposed features were evaluated and analyzed. At the second part, the tongue detection is proposed based on the convolutional neural network approach and preliminary results were shown.

Název v anglickém jazyce

Automatic Evaluation of Speech Therapy Exercises Based on Image Data

Popis výsledku anglicky

The presented paper proposes a new method for unique automatic evaluation of speech therapy exercises, one part of the future software system for speech therapy support. The method is based on the detection of the lips and tongue movements, which will help to evaluate the quality of the exercise implementation. Four different types of exercises are introduced and the corresponding features, capturing the quality of the movements, are shown. The method was tested using manually annotated data and the proposed features were evaluated and analyzed. At the second part, the tongue detection is proposed based on the convolutional neural network approach and preliminary results were shown.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/TJ01000181" target="_blank" >TJ01000181: ASSISLT - Automatizovaný Softwarový Systém pro Logopedickou Terapii</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Image Analysis and Recognition : 16th International Conference, ICIAR 2019, Waterloo, ON, Canada, August 27–29, 2019

ISBN

978-3-030-27201-2

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

8

Strana od-do

397-404

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Waterloo

Datum konání akce

27. 8. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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