{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:O6DB5YONL6RAZ5XMH5NU2WAHIU","short_pith_number":"pith:O6DB5YON","schema_version":"1.0","canonical_sha256":"77861ee1cd5fa20cf6ec3f5b4d5807453e39fc81ccf982601cfbdd6db3e45c11","source":{"kind":"arxiv","id":"2303.01547","version":1},"attestation_state":"computed","paper":{"title":"Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Natasha Kholgade Banerjee, Sean Banerjee, Sichao Li, Soumyabrata Dey","submitted_at":"2023-03-02T19:25:40Z","abstract_excerpt":"Hand gesture detection is a well-explored area in computer vision with applications in various forms of Human-Computer Interactions. In this work, we propose a technique for simultaneous hand gesture classification, handedness detection, and hand keypoints localization using thermal data captured by an infrared camera. Our method uses a novel deep multi-task learning architecture that includes shared encoderdecoder layers followed by three branches dedicated for each mentioned task. We performed extensive experimental validation of our model on an in-house dataset consisting of 24 users data. "},"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":"2303.01547","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2023-03-02T19:25:40Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"5ab2ed097ce2b3ab290ce68eb7c92a20094907bb08c28b9afbc4a3092e7bfe2e","abstract_canon_sha256":"5dab37c2ad67fd7dae558642dc362ac96a8eda590768c775c9d3cfb11ef6d4f4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:47:35.664450Z","signature_b64":"ORntIkjSToj6zZuOImU9t9rAsng0q2MJoP3dslOI6GgAWWOFqGa7pzUbJwR3TFTYRGkkppqvkW2xEFw/5CgjDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"77861ee1cd5fa20cf6ec3f5b4d5807453e39fc81ccf982601cfbdd6db3e45c11","last_reissued_at":"2026-07-05T05:47:35.663957Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:47:35.663957Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Natasha Kholgade Banerjee, Sean Banerjee, Sichao Li, Soumyabrata Dey","submitted_at":"2023-03-02T19:25:40Z","abstract_excerpt":"Hand gesture detection is a well-explored area in computer vision with applications in various forms of Human-Computer Interactions. In this work, we propose a technique for simultaneous hand gesture classification, handedness detection, and hand keypoints localization using thermal data captured by an infrared camera. Our method uses a novel deep multi-task learning architecture that includes shared encoderdecoder layers followed by three branches dedicated for each mentioned task. We performed extensive experimental validation of our model on an in-house dataset consisting of 24 users data. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2303.01547","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/2303.01547/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":"2303.01547","created_at":"2026-07-05T05:47:35.664012+00:00"},{"alias_kind":"arxiv_version","alias_value":"2303.01547v1","created_at":"2026-07-05T05:47:35.664012+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2303.01547","created_at":"2026-07-05T05:47:35.664012+00:00"},{"alias_kind":"pith_short_12","alias_value":"O6DB5YONL6RA","created_at":"2026-07-05T05:47:35.664012+00:00"},{"alias_kind":"pith_short_16","alias_value":"O6DB5YONL6RAZ5XM","created_at":"2026-07-05T05:47:35.664012+00:00"},{"alias_kind":"pith_short_8","alias_value":"O6DB5YON","created_at":"2026-07-05T05:47:35.664012+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/O6DB5YONL6RAZ5XMH5NU2WAHIU","json":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU.json","graph_json":"https://pith.science/api/pith-number/O6DB5YONL6RAZ5XMH5NU2WAHIU/graph.json","events_json":"https://pith.science/api/pith-number/O6DB5YONL6RAZ5XMH5NU2WAHIU/events.json","paper":"https://pith.science/paper/O6DB5YON"},"agent_actions":{"view_html":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU","download_json":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU.json","view_paper":"https://pith.science/paper/O6DB5YON","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2303.01547&json=true","fetch_graph":"https://pith.science/api/pith-number/O6DB5YONL6RAZ5XMH5NU2WAHIU/graph.json","fetch_events":"https://pith.science/api/pith-number/O6DB5YONL6RAZ5XMH5NU2WAHIU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU/action/storage_attestation","attest_author":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU/action/author_attestation","sign_citation":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU/action/citation_signature","submit_replication":"https://pith.science/pith/O6DB5YONL6RAZ5XMH5NU2WAHIU/action/replication_record"}},"created_at":"2026-07-05T05:47:35.664012+00:00","updated_at":"2026-07-05T05:47:35.664012+00:00"}