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

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

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. Transfer learning could...

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Bibliographic Details
Main Authors: Halvardsson, Gustaf, Peterson, Johanna
Format: Others
Language:English
Published: KTH, Skolan för elektroteknik och datavetenskap (EECS) 2020
Subjects:
Sign language interpretation
machine learning
convolutional neural networks
transfer learning
image recognition
Teckenspråkstolkning
maskininlärning
bildigenkänning
Computer and Information Sciences
Data- och informationsvetenskap
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277859

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277859

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