Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Stelian Nicola"'
Publikováno v:
Applied Medical Informatics, Vol 45, Iss Suppl. S1, Pp S18-S18 (2023)
Nowadays, fields that employ gestures in the execution of certain procedures or actions include the medical field (surgical procedures, recovery, training) and engineering (IT, mechanics, robotics – controlling a robotic arm). Research has been con
Externí odkaz:
https://doaj.org/article/6836764f6a02467c912973e3e04a17c5
Publikováno v:
Applied Medical Informatics, Vol 43, Iss Suppl. S1, Pp 33-33 (2021)
The gaming industry has seen spectacular growth over the last years. In the IT field it ranks third in terms of revenue. Such growth is due to several criteria. A first criterion is the emergence of new technologies based on virtual, augmented, and/o
Externí odkaz:
https://doaj.org/article/20b0b10cc03b469881aecbbfc2b7a4b9
Autor:
Gabriela VARGA, Lăcrămioară STOICU-TIVADAR, Stelian NICOLA, Elena AMARICĂI, Oana SUCIU, Corina DOBRESCU, Elena SÎRBU
Publikováno v:
Applied Medical Informatics, Vol 43, Iss Suppl. S1, Pp 40-40 (2021)
Currently, there are several devices used in kinetotherapy for rehabilitation and evaluation of movements, but fewer applications that support rehabilitation for people diagnosed with rheumatoid arthritis. In the past several ones were using Microsof
Externí odkaz:
https://doaj.org/article/9e2fd62822634dfaa6efe08952bd2dfe
Publikováno v:
Applied Medical Informatics, Vol 41, Iss Suppl. 1 (2019)
This paper is aimed at making a presentation of the devices used in hand recovery. A classification of such devices will be presented along with the main benefits brought forth as well as new development directions. Recovery devices may be classified
Externí odkaz:
https://doaj.org/article/4730301f96cb4745943507317bc9fcd9
Publikováno v:
Studies in health technology and informatics. 295
This paper presents a current situation of studies and applications which are using serious games and artificial intelligence (AI) in rehabilitation of rheumatoid arthritis, and possible future directions. The objectives of this paper are: to highlig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::dfa894234b9b518adaeb8c7a529fb272
https://pubmed.ncbi.nlm.nih.gov/35773936
https://pubmed.ncbi.nlm.nih.gov/35773936
Publikováno v:
Studies in health technology and informatics. 295
Static and dynamic gestures are frequently used in activities supporting learning, recovery healthcare, engineering, and 3D games to increase the interactivity between man and machine. The gestures are detected via hardware devices and data is proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::06e24c8eef69c2e10729782fc5e8d192
https://pubmed.ncbi.nlm.nih.gov/35773840
https://pubmed.ncbi.nlm.nih.gov/35773840
Static and dynamic gestures are frequently used in activities supporting learning, recovery healthcare, engineering, and 3D games to increase the interactivity between man and machine. The gestures are detected via hardware devices and data is proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c7e4b034763b9cb7c9d0f61a538708
https://doi.org/10.3233/shti220694
https://doi.org/10.3233/shti220694
This paper presents a current situation of studies and applications which are using serious games and artificial intelligence (AI) in rehabilitation of rheumatoid arthritis, and possible future directions. The objectives of this paper are: to highlig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b6c8b7ea13a6eb6d09af7b5931ea4b4
https://doi.org/10.3233/shti220790
https://doi.org/10.3233/shti220790
This paper presents a Support-Vector Machine (SVM) based method of classification of cross-correlated phoneme segments as part of the development of an automated Speech Sound Disorder (SSD) Screening tool. The pre-processing stage of the algorithm us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f764f622d1acc898b3bc9467f657f6be
https://doi.org/10.3233/shti220500
https://doi.org/10.3233/shti220500
Publikováno v:
Studies in health technology and informatics. 294
This paper presents a Support-Vector Machine (SVM) based method of classification of cross-correlated phoneme segments as part of the development of an automated Speech Sound Disorder (SSD) Screening tool. The pre-processing stage of the algorithm us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::cd21c03c8fbb91c817933f785625aade
https://pubmed.ncbi.nlm.nih.gov/35612121
https://pubmed.ncbi.nlm.nih.gov/35612121