Quantitative survey of the state of the art in sign language recognition
O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …
papers with over 400 experimental results. It includes most papers between the start of the …
Phonologically-meaningful subunits for deep learning-based sign language recognition
M Borg, KP Camilleri - … Vision–ECCV 2020 Workshops: Glasgow, UK …, 2020 - Springer
The large majority of sign language recognition systems based on deep learning adopt a
word model approach. Here we present a system that works with subunits, rather than word …
word model approach. Here we present a system that works with subunits, rather than word …
[PDF][PDF] Automatic sign language recognition: from video corpora to gloss sentences
J Forster - 2020 - scholar.archive.org
This PhD thesis investigates large vocabulary, continuous automatic sign language
recognition (ASLR) from single view video using hidden Markov models (HMMs) with …
recognition (ASLR) from single view video using hidden Markov models (HMMs) with …