{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:BVWTTD5URTMGFX5TM5463GE7GL","short_pith_number":"pith:BVWTTD5U","schema_version":"1.0","canonical_sha256":"0d6d398fb48cd862dfb36779ed989f32d893b026a13014c728acbc643e5de816","source":{"kind":"arxiv","id":"1901.10323","version":3},"attestation_state":"computed","paper":{"title":"Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ahmet Gunduz, Gerhard Rigoll, Neslihan Kose, Okan K\\\"op\\\"ukl\\\"u","submitted_at":"2019-01-29T14:52:51Z","abstract_excerpt":"Real-time recognition of dynamic hand gestures from video streams is a challenging task since (i) there is no indication when a gesture starts and ends in the video, (ii) performed gestures should only be recognized once, and (iii) the entire architecture should be designed considering the memory and power budget. In this work, we address these challenges by proposing a hierarchical structure enabling offline-working convolutional neural network (CNN) architectures to operate online efficiently by using sliding window approach. The proposed architecture consists of two models: (1) A detector w"},"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":"1901.10323","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-01-29T14:52:51Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4832816ef0065094633623e6806e72ab3f6f9fa52fbcc001eefb372c0482a2ef","abstract_canon_sha256":"aba0eb5fe9f24053abe52562d5e38cafe41138d0728e85db581bf10174ba3432"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:13:01.304710Z","signature_b64":"rLmWfmVHp21cIx3Mszc2ezryD7kHDbw7Q/aLJ07wBsyobmzGizvz+fba7KakzrpiYeMOgP+67ERKojSeOTGDAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d6d398fb48cd862dfb36779ed989f32d893b026a13014c728acbc643e5de816","last_reissued_at":"2026-07-05T00:13:01.304206Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:13:01.304206Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ahmet Gunduz, Gerhard Rigoll, Neslihan Kose, Okan K\\\"op\\\"ukl\\\"u","submitted_at":"2019-01-29T14:52:51Z","abstract_excerpt":"Real-time recognition of dynamic hand gestures from video streams is a challenging task since (i) there is no indication when a gesture starts and ends in the video, (ii) performed gestures should only be recognized once, and (iii) the entire architecture should be designed considering the memory and power budget. In this work, we address these challenges by proposing a hierarchical structure enabling offline-working convolutional neural network (CNN) architectures to operate online efficiently by using sliding window approach. The proposed architecture consists of two models: (1) A detector w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.10323","kind":"arxiv","version":3},"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/1901.10323/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":"1901.10323","created_at":"2026-07-05T00:13:01.304267+00:00"},{"alias_kind":"arxiv_version","alias_value":"1901.10323v3","created_at":"2026-07-05T00:13:01.304267+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.10323","created_at":"2026-07-05T00:13:01.304267+00:00"},{"alias_kind":"pith_short_12","alias_value":"BVWTTD5URTMG","created_at":"2026-07-05T00:13:01.304267+00:00"},{"alias_kind":"pith_short_16","alias_value":"BVWTTD5URTMGFX5T","created_at":"2026-07-05T00:13:01.304267+00:00"},{"alias_kind":"pith_short_8","alias_value":"BVWTTD5U","created_at":"2026-07-05T00:13:01.304267+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/BVWTTD5URTMGFX5TM5463GE7GL","json":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL.json","graph_json":"https://pith.science/api/pith-number/BVWTTD5URTMGFX5TM5463GE7GL/graph.json","events_json":"https://pith.science/api/pith-number/BVWTTD5URTMGFX5TM5463GE7GL/events.json","paper":"https://pith.science/paper/BVWTTD5U"},"agent_actions":{"view_html":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL","download_json":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL.json","view_paper":"https://pith.science/paper/BVWTTD5U","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1901.10323&json=true","fetch_graph":"https://pith.science/api/pith-number/BVWTTD5URTMGFX5TM5463GE7GL/graph.json","fetch_events":"https://pith.science/api/pith-number/BVWTTD5URTMGFX5TM5463GE7GL/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL/action/timestamp_anchor","attest_storage":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL/action/storage_attestation","attest_author":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL/action/author_attestation","sign_citation":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL/action/citation_signature","submit_replication":"https://pith.science/pith/BVWTTD5URTMGFX5TM5463GE7GL/action/replication_record"}},"created_at":"2026-07-05T00:13:01.304267+00:00","updated_at":"2026-07-05T00:13:01.304267+00:00"}