SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild Article Swipe
Ariel Caputo
,
Andrea Giachetti
,
Simone Soso
,
Deborah Pintani
,
Andrea D’Eusanio
,
Stefano Pini
,
Guido Borghi
,
Alessandro Simoni
,
Roberto Vezzani
,
Rita Cucchiara
,
Andrea Ranieri
,
Franca Giannini
,
Katia Lupinetti
,
Marina Monti
,
Mehran Maghoumi
,
Joseph J. LaViola
,
Minh-Quan Le
,
Hai-Dang Nguyen
,
Minh–Triet Tran
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2106.10980
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2106.10980
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, entertainment systems, and more. Recognition of hand gestures can be nowadays performed directly from the stream of hand skeletons estimated by software provided by low-cost trackers (Ultraleap) and MR headsets (Hololens, Oculus Quest) or by video processing software modules (e.g. Google Mediapipe). Despite the recent advancements in gesture and action recognition from skeletons, it is unclear how well the current state-of-the-art techniques can perform in a real-world scenario for the recognition of a wide set of heterogeneous gestures, as many benchmarks do not test online recognition and use limited dictionaries. This motivated the proposal of the SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild. For this contest, we created a novel dataset with heterogeneous gestures featuring different types and duration. These gestures have to be found inside sequences in an online recognition scenario. This paper presents the result of the contest, showing the performances of the techniques proposed by four research groups on the challenging task compared with a simple baseline method.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2106.10980
- https://arxiv.org/pdf/2106.10980
- OA Status
- green
- Cited By
- 2
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3177087738
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3177087738Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2106.10980Digital Object Identifier
- Title
-
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the WildWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-06-21Full publication date if available
- Authors
-
Ariel Caputo, Andrea Giachetti, Simone Soso, Deborah Pintani, Andrea D’Eusanio, Stefano Pini, Guido Borghi, Alessandro Simoni, Roberto Vezzani, Rita Cucchiara, Andrea Ranieri, Franca Giannini, Katia Lupinetti, Marina Monti, Mehran Maghoumi, Joseph J. LaViola, Minh-Quan Le, Hai-Dang Nguyen, Minh–Triet TranList of authors in order
- Landing page
-
https://arxiv.org/abs/2106.10980Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2106.10980Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2106.10980Direct OA link when available
- Concepts
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Gesture, Computer science, Interactive kiosk, Gesture recognition, BitTorrent tracker, Human–computer interaction, Set (abstract data type), Variety (cybernetics), Artificial intelligence, Eye tracking, World Wide Web, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
-
3Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_lineage | https://openalex.org/I205783295 |
| primary_location.license | |
| primary_location.pdf_url | https://arxiv.org/pdf/2106.10980 |
| primary_location.version | submittedVersion |
| primary_location.raw_type | text |
| primary_location.license_id | |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | http://arxiv.org/abs/2106.10980 |
| publication_date | 2021-06-21 |
| publication_year | 2021 |
| referenced_works | https://openalex.org/W3048058552, https://openalex.org/W2784435047, https://openalex.org/W2770565591 |
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