{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:PYBK6U3MNQACI5TJ3JL4CEOYDY","short_pith_number":"pith:PYBK6U3M","schema_version":"1.0","canonical_sha256":"7e02af536c6c00247669da57c111d81e1b9aa45a7645ae02491ffc5219a91d12","source":{"kind":"arxiv","id":"2106.10980","version":1},"attestation_state":"computed","paper":{"title":"SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Alessandro Simoni, Andrea D'Eusanio, Andrea Giachetti, Andrea Ranieri, Ariel Caputo, Deborah Pintani, Franca Giannini, Guido Borghi, Hai-Dang Nguyen, Joseph J. LaViola Jr, Katia Lupinetti, Marina Monti, Mehran Maghoumi, Minh-Quan Le, Minh-Triet Tran, Rita Cucchiara, Roberto Vezzani, Simone Soso, Stefano Pini","submitted_at":"2021-06-21T10:57:49Z","abstract_excerpt":"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-"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2106.10980","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-06-21T10:57:49Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"0e2d463c6177b977cc60b771225033e9c61894f232941d1b876c1a9209532ca7","abstract_canon_sha256":"addae5ce29fb40ad8656ec004e014fd3dd8680254b5def8ee2145581377f490b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:50:55.459360Z","signature_b64":"fdQVmUkPj0ZfPmbTJywPXTVZ2fAEbEDQ3AHpKXtAT/IW7OI88cn2lMyNWaycRwd7dMh/eW7WxRPPrEwIVfxWBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e02af536c6c00247669da57c111d81e1b9aa45a7645ae02491ffc5219a91d12","last_reissued_at":"2026-07-05T02:50:55.458938Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:50:55.458938Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Alessandro Simoni, Andrea D'Eusanio, Andrea Giachetti, Andrea Ranieri, Ariel Caputo, Deborah Pintani, Franca Giannini, Guido Borghi, Hai-Dang Nguyen, Joseph J. LaViola Jr, Katia Lupinetti, Marina Monti, Mehran Maghoumi, Minh-Quan Le, Minh-Triet Tran, Rita Cucchiara, Roberto Vezzani, Simone Soso, Stefano Pini","submitted_at":"2021-06-21T10:57:49Z","abstract_excerpt":"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-"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.10980","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2106.10980/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2106.10980","created_at":"2026-07-05T02:50:55.459000+00:00"},{"alias_kind":"arxiv_version","alias_value":"2106.10980v1","created_at":"2026-07-05T02:50:55.459000+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.10980","created_at":"2026-07-05T02:50:55.459000+00:00"},{"alias_kind":"pith_short_12","alias_value":"PYBK6U3MNQAC","created_at":"2026-07-05T02:50:55.459000+00:00"},{"alias_kind":"pith_short_16","alias_value":"PYBK6U3MNQACI5TJ","created_at":"2026-07-05T02:50:55.459000+00:00"},{"alias_kind":"pith_short_8","alias_value":"PYBK6U3M","created_at":"2026-07-05T02:50:55.459000+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY","json":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY.json","graph_json":"https://pith.science/api/pith-number/PYBK6U3MNQACI5TJ3JL4CEOYDY/graph.json","events_json":"https://pith.science/api/pith-number/PYBK6U3MNQACI5TJ3JL4CEOYDY/events.json","paper":"https://pith.science/paper/PYBK6U3M"},"agent_actions":{"view_html":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY","download_json":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY.json","view_paper":"https://pith.science/paper/PYBK6U3M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2106.10980&json=true","fetch_graph":"https://pith.science/api/pith-number/PYBK6U3MNQACI5TJ3JL4CEOYDY/graph.json","fetch_events":"https://pith.science/api/pith-number/PYBK6U3MNQACI5TJ3JL4CEOYDY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY/action/storage_attestation","attest_author":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY/action/author_attestation","sign_citation":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY/action/citation_signature","submit_replication":"https://pith.science/pith/PYBK6U3MNQACI5TJ3JL4CEOYDY/action/replication_record"}},"created_at":"2026-07-05T02:50:55.459000+00:00","updated_at":"2026-07-05T02:50:55.459000+00:00"}