Your browser doesn't support javascript.
loading
Handwriting Evaluation Using Deep Learning with SensoGrip.
Bublin, Mugdim; Werner, Franz; Kerschbaumer, Andrea; Korak, Gernot; Geyer, Sebastian; Rettinger, Lena; Schönthaler, Erna; Schmid-Kietreiber, Matthias.
Afiliación
  • Bublin M; Computer Science and Digital Communication, Department Technics, University of Applied Sciences, FH Campus Wien, 1100 Vienna, Austria.
  • Werner F; Health Assisting Engineering, Department Technics & Health Sciences, University of Applied Sciences, 2FH Campus Wien, 1100 Vienna, Austria.
  • Kerschbaumer A; Health Assisting Engineering, Department Technics & Health Sciences, University of Applied Sciences, 2FH Campus Wien, 1100 Vienna, Austria.
  • Korak G; High Tech Manufacturing, Department Technics, University of Applied Sciences, FH Campus Wien, 1100 Vienna, Austria.
  • Geyer S; High Tech Manufacturing, Department Technics, University of Applied Sciences, FH Campus Wien, 1100 Vienna, Austria.
  • Rettinger L; Health Assisting Engineering, Department Technics & Health Sciences, University of Applied Sciences, 2FH Campus Wien, 1100 Vienna, Austria.
  • Schönthaler E; Occupational Therapy, Department Health Sciences, University of Applied Sciences, FH Campus Wien, 1100 Vienna, Austria.
  • Schmid-Kietreiber M; Computer Science and Digital Communication, Department Technics, University of Applied Sciences, FH Campus Wien, 1100 Vienna, Austria.
Sensors (Basel) ; 23(11)2023 May 31.
Article en En | MEDLINE | ID: mdl-37299942
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Agrafia / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Child / Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Agrafia / Aprendizaje Profundo Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Child / Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Austria Pais de publicación: Suiza