Automatic Evaluation of Speech Therapy Exercises Based on Image Data
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Automatic Evaluation of Speech Therapy Exercises Based on Image Data
Original language description
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.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/TJ01000181" target="_blank" >TJ01000181: ASSISLT - Automated Software System in Speech-language Therapy</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
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
—
Number of pages
8
Pages from-to
397-404
Publisher name
Springer
Place of publication
Cham
Event location
Waterloo
Event date
Aug 27, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—