0524713 20240103224117.420200604235959.9 85095604269 10.2352/ISSN.2470-1173.2020.1.VDA-389 5 s. E cav_un_epca*05368022470-1173SpringfieldSociety for Imaging Science and Technology2020 speech therapy deep learning tongue detection lips detection cav_un_auth*0332672 Bílková Zuzana UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0283562 Novozámský Adam UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0312355 Bartoš Michal UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0370910 Dominec Adam UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0380013 Greško Šimon UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101238 Zitová Barbara UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0370909 Paroubková Markéta UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101087 Flusser Jan UTIA-B Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2020/ZOI/zitova-0524713.pdf TJ01000181 GA TA ČR cav_un_auth*0369114 SVV–2017–260452 GA MŠk CZ cav_un_auth*0392693 AP1701 AV ČR CZ cav_un_auth*0349658 The novel human computer interface is introduced, based ontongue and lips movements and using video data from a commercially available camera. The size and direction of the movementsare extracted and can be used for setting cursor actions or to otherrelevant activities. The movement detection is based on convolu-tional neural networks. The applicability of the proposed solutionis shown on the ASSISLT system, aimed to support speechtherapy for adults and children with inborn and acquired motorspeech disorders. The system focuses on individual treatment us-ing exercises that improve tongue motion and thus articulation.The system offers an adjustable set of exercises which proper per-formance is motivated using augmented reality. Automatic evaluation of the performance of therapeutic movements allows thetherapist to objectively follow the progress of the treatment. cav_un_auth*0392692 IS&T International Symposium on Electronic Imaging 2020 20200126 20200130 Burlingame, California US JC 10000 10200 10201 2021 8 PO RVO:67985556 http://hdl.handle.net/11104/0309170 1 S 389 2020 85095604269 SCOPUS PUBMED WOS cav_un_epca*0536802 Electronic Imaging, Visualization and Data Analysis 2020 2470-1173 Springfield Society for Imaging Science and Technology 2020