{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:A2O3GSRSUW46C6R4EVKEH2LEPF","short_pith_number":"pith:A2O3GSRS","schema_version":"1.0","canonical_sha256":"069db34a32a5b9e17a3c255443e96479563fdb0fe8d82de375876863f25f342a","source":{"kind":"arxiv","id":"1907.08871","version":1},"attestation_state":"computed","paper":{"title":"Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dimitris N. Metaxas, Jianbo Yuan, Long Zhao, Xi Peng, Yuxiao Chen","submitted_at":"2019-07-20T22:24:01Z","abstract_excerpt":"We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand gesture recognition. The key idea is to first construct a fully-connected graph from a hand skeleton, where the node features and edges are then automatically learned via a self-attention mechanism that performs in both spatial and temporal domains. We further propose to leverage the spatial-temporal cues of joint positions to guarantee robust recognition in challenging conditions. In addition, a novel spatial-temporal mask is applied to significantly cut down the computational cost by 99%. We carry out extens"},"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":"1907.08871","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-07-20T22:24:01Z","cross_cats_sorted":[],"title_canon_sha256":"b46aa4c171738519e6ac871f7775e85a182b0b2fcbc46a08a82032a6dbd8f151","abstract_canon_sha256":"642b9d4c998a6c58c0482c2b33468a2cad4330e6518d9f05cbc454cb378aa82e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:40:02.915911Z","signature_b64":"SGqYWL8LXBtx1noZ4VACoD2D9dsDjtXzXVFZ1dgwVDovsuYAxWbX4pd3cEfxRWZXoV0yHqaHUyn6yjjvgcdcAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"069db34a32a5b9e17a3c255443e96479563fdb0fe8d82de375876863f25f342a","last_reissued_at":"2026-05-17T23:40:02.915238Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:40:02.915238Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dimitris N. Metaxas, Jianbo Yuan, Long Zhao, Xi Peng, Yuxiao Chen","submitted_at":"2019-07-20T22:24:01Z","abstract_excerpt":"We propose a Dynamic Graph-Based Spatial-Temporal Attention (DG-STA) method for hand gesture recognition. The key idea is to first construct a fully-connected graph from a hand skeleton, where the node features and edges are then automatically learned via a self-attention mechanism that performs in both spatial and temporal domains. We further propose to leverage the spatial-temporal cues of joint positions to guarantee robust recognition in challenging conditions. In addition, a novel spatial-temporal mask is applied to significantly cut down the computational cost by 99%. We carry out extens"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.08871","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":""},"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":"1907.08871","created_at":"2026-05-17T23:40:02.915349+00:00"},{"alias_kind":"arxiv_version","alias_value":"1907.08871v1","created_at":"2026-05-17T23:40:02.915349+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.08871","created_at":"2026-05-17T23:40:02.915349+00:00"},{"alias_kind":"pith_short_12","alias_value":"A2O3GSRSUW46","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_16","alias_value":"A2O3GSRSUW46C6R4","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_8","alias_value":"A2O3GSRS","created_at":"2026-05-18T12:33:12.712433+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/A2O3GSRSUW46C6R4EVKEH2LEPF","json":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF.json","graph_json":"https://pith.science/api/pith-number/A2O3GSRSUW46C6R4EVKEH2LEPF/graph.json","events_json":"https://pith.science/api/pith-number/A2O3GSRSUW46C6R4EVKEH2LEPF/events.json","paper":"https://pith.science/paper/A2O3GSRS"},"agent_actions":{"view_html":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF","download_json":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF.json","view_paper":"https://pith.science/paper/A2O3GSRS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1907.08871&json=true","fetch_graph":"https://pith.science/api/pith-number/A2O3GSRSUW46C6R4EVKEH2LEPF/graph.json","fetch_events":"https://pith.science/api/pith-number/A2O3GSRSUW46C6R4EVKEH2LEPF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF/action/storage_attestation","attest_author":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF/action/author_attestation","sign_citation":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF/action/citation_signature","submit_replication":"https://pith.science/pith/A2O3GSRSUW46C6R4EVKEH2LEPF/action/replication_record"}},"created_at":"2026-05-17T23:40:02.915349+00:00","updated_at":"2026-05-17T23:40:02.915349+00:00"}