Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Sign and Search: Sign Search Functionality for Sign Language Lexica   Sign language lexica are a useful resource for researchers and people
learning sign languages. Current implementations allow a user to search a sign
either by its gloss or by selecting its primary features such as handshape and
location. This study focuses on exploring a reverse search functionality where
a user can sign a query sign in front of a webcam and retrieve a set of
matching signs. By extracting different body joints combinations (upper body,
dominant hand's arm and wrist) using the pose estimation framework OpenPose, we
compare four techniques (PCA, UMAP, DTW and Euclidean distance) as distance
metrics between 20 query signs, each performed by eight participants on a 1200
sign lexicon. The results show that UMAP and DTW can predict a matching sign
with an 80\% and 71\% accuracy respectively at the top-20 retrieved signs using
the movement of the dominant hand arm. Using DTW and adding more sign instances
from other participants in the lexicon, the accuracy can be raised to 90\% at
the top-10 ranking. Our results suggest that our methodology can be used with
no training in any sign language lexicon regardless of its size.

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The categories of this paper are: cmp-lg
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The categories of this paper are: ao-sci
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The categories of this paper are: cond-mat
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The categories of this paper are: eess
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The categories of this paper are: astro-ph
3
The categories of this paper are: physics
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The categories of this paper are: q-fin
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The categories of this paper are: hep-th
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The categories of this paper are: math-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: patt-sol
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The categories of this paper are: nlin
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The categories of this paper are: solv-int
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The categories of this paper are: hep-lat
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The categories of this paper are: chao-dyn
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The categories of this paper are: gr-qc