Essays about: "Sign Language Recognition"

Showing result 6 - 10 of 13 essays containing the words Sign Language Recognition.

1. 6. Interpretation of Swedish Sign Language using Convolutional Neural Networks and Transfer Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Gustaf Halvardsson; Johanna Peterson; [2020]
   Keywords : Sign language interpretation; machine learning; convolutional neural networks; transfer learning; image recognition; Teckenspråkstolkning; maskininlärning; convolutional neural networks; transfer learning; bildigenkänning;

   Abstract : The automatic interpretation of signs of a sign language involves image recognition. An appropriate approach for this task is to use Deep Learning, and in particular, Convolutional Neural Networks. This method typically needs large amounts of data to be able to perform well. READ MORE

3. 7. I never tried the swings before : Perspectives on urban greenspace from children with profound intellectual and multiple disabilities

   University essay from Stockholms universitet/Institutionen för naturgeografi

   Author : Lena Hanses; [2019]
   Keywords : Green access; greenspace; park; children; profound intellectual and multiple disabilities; PIMD; disability;

   Abstract : To achieve the United Nations Sustainable Development Goal 11.7 aiming to create inclusiveand accessible greenspaces, there is need to involve children with profound intellectual andmultiple disabilities in research and planning practices. READ MORE

4. 8. Implementation of an 8-bit Dynamic Fixed-Point Convolutional Neural Network for Human Sign Language Recognition on a Xilinx FPGA Board

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Ricardo Núñez-Prieto; [2019]
   Keywords : Artificial Intelligence; Computer Vision; Machine Learning; Convolutional Neural Networks; FPGA; Sign Language Recognition; Technology and Engineering;

   Abstract : The goal of this thesis work is to implement a convolutional neural network on an FPGA device with the capability of recognising human sign language. The set of gestures that the neural network can identify has been taken from the Swedish sign language, and it consists of the signs used for representing the letters of the Swedish alphabet (a.k.a. READ MORE

5. 9. Highly-Educated Immigrants in Sweden

   University essay from Lunds universitet/Företagsekonomiska institutionen

   Author : Yazeed Al-Atassi; Ismail Alebiary; [2017]
   Keywords : Swedish job market; Syrian immigrants; highly-educated immigrants; employment of immigrants; Swedish Public Employment Service; Arbetsförmedlingen; Business and Economics;

   Abstract : Purpose: The purpose of this thesis is to provide the reader with insights regarding what Syrian highly-educated immigrants (HEI) in Sweden think are the underlying prerequisites and actions needed to facilitate their entrance into the Swedish job market. Key Research Question: What are the key requirements needed to expedite the employment of HEI in the Swedish job market, and take up relevant jobs within the scope of their studies, as perceived by Syrian HEI? Methodology: Using a mixed-method to collect quantitative and qualitative data from Syrian HEI by using: 1) a survey and 2) a series of semi-structured interviews. READ MORE

6. 10. Swedish Sign Language Skills Training and Assessment

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Dani Potrus; [2017]
   Keywords : Sign language; Sign language recognition; Video game; Efficiency; Sign language assessment; Experimental design; Statistical testing; Statistical evaluation; Teckenspråk; Igenkänning av Svenskt teckenspråk; Teckenspråks tv spel; Effektivitet; Teckenspråklig bedömning; Experimentell design; Statistisk testning; Statistisk utvärdering;

   Abstract : Sign language is used widely around the world as a first language for those that are unable to use spoken language and by groups of people that have a disability which precludes them from using spoken language (such as a hearing impairment). The importance of effective learning of sign language and its applications in modern computer science has grown widely in the modern aged society and research around sign language recognition has sprouted in many different directions, some examples using hidden markov models (HMMs) to train models to recognize different sign language patterns (Swedish sign language, American sign language, Korean sign language, German sign language and so on). READ MORE