{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:MHF7V5QS3JCPHWNRNGIOHTNZS7","short_pith_number":"pith:MHF7V5QS","schema_version":"1.0","canonical_sha256":"61cbfaf612da44f3d9b16990e3cdb997d9825936b03e54ebd6ecaac4c8e7dd08","source":{"kind":"arxiv","id":"2502.20954","version":3},"attestation_state":"computed","paper":{"title":"Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bj\\\"orn Eskofier, Dario Zanca, Jens Barth, Jindong Li, Peter K\\\"ampf, Tim Hamann","submitted_at":"2025-02-28T11:09:28Z","abstract_excerpt":"Handwriting recognition (HWR) using inertial measurement unit (IMU) data remains challenging due to variations in writing styles and the limited availability of datasets. Previous approaches often struggle with handwriting from unseen writers, making writer-independent (WI) recognition a crucial yet difficult problem. This paper presents a model designed to improve WI HWR on IMU data, using a CNN encoder and BiLSTM-based decoder. Our approach demonstrates strong robustness to unseen handwriting styles, outperforming existing methods on the WI splits of both the public OnHW dataset and our word"},"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":"2502.20954","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-28T11:09:28Z","cross_cats_sorted":[],"title_canon_sha256":"8e6c91aa7cb2e15ea312e2754ae8549a0b878223781ce8cbff86487e812681a6","abstract_canon_sha256":"065bbbbacdb20cc616de408555258acbbc03f3fcf152d007e61a20d1c978aa48"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-29T02:05:34.435381Z","signature_b64":"Kwroo/7+QMJTM4Oak7HKVzg0xzQUlxZ7Twck2OyINl9s5mXni8pYA6z4q1ML+WaS+EhhfsRP6ZEl1Q3qT9bCCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"61cbfaf612da44f3d9b16990e3cdb997d9825936b03e54ebd6ecaac4c8e7dd08","last_reissued_at":"2026-05-29T02:05:34.434872Z","signature_status":"signed_v1","first_computed_at":"2026-05-29T02:05:34.434872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Robust and Efficient Writer-Independent IMU-Based Handwriting Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bj\\\"orn Eskofier, Dario Zanca, Jens Barth, Jindong Li, Peter K\\\"ampf, Tim Hamann","submitted_at":"2025-02-28T11:09:28Z","abstract_excerpt":"Handwriting recognition (HWR) using inertial measurement unit (IMU) data remains challenging due to variations in writing styles and the limited availability of datasets. Previous approaches often struggle with handwriting from unseen writers, making writer-independent (WI) recognition a crucial yet difficult problem. This paper presents a model designed to improve WI HWR on IMU data, using a CNN encoder and BiLSTM-based decoder. Our approach demonstrates strong robustness to unseen handwriting styles, outperforming existing methods on the WI splits of both the public OnHW dataset and our word"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.20954","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/2502.20954/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":"2502.20954","created_at":"2026-05-29T02:05:34.434929+00:00"},{"alias_kind":"arxiv_version","alias_value":"2502.20954v3","created_at":"2026-05-29T02:05:34.434929+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.20954","created_at":"2026-05-29T02:05:34.434929+00:00"},{"alias_kind":"pith_short_12","alias_value":"MHF7V5QS3JCP","created_at":"2026-05-29T02:05:34.434929+00:00"},{"alias_kind":"pith_short_16","alias_value":"MHF7V5QS3JCPHWNR","created_at":"2026-05-29T02:05:34.434929+00:00"},{"alias_kind":"pith_short_8","alias_value":"MHF7V5QS","created_at":"2026-05-29T02:05:34.434929+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/MHF7V5QS3JCPHWNRNGIOHTNZS7","json":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7.json","graph_json":"https://pith.science/api/pith-number/MHF7V5QS3JCPHWNRNGIOHTNZS7/graph.json","events_json":"https://pith.science/api/pith-number/MHF7V5QS3JCPHWNRNGIOHTNZS7/events.json","paper":"https://pith.science/paper/MHF7V5QS"},"agent_actions":{"view_html":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7","download_json":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7.json","view_paper":"https://pith.science/paper/MHF7V5QS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2502.20954&json=true","fetch_graph":"https://pith.science/api/pith-number/MHF7V5QS3JCPHWNRNGIOHTNZS7/graph.json","fetch_events":"https://pith.science/api/pith-number/MHF7V5QS3JCPHWNRNGIOHTNZS7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7/action/storage_attestation","attest_author":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7/action/author_attestation","sign_citation":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7/action/citation_signature","submit_replication":"https://pith.science/pith/MHF7V5QS3JCPHWNRNGIOHTNZS7/action/replication_record"}},"created_at":"2026-05-29T02:05:34.434929+00:00","updated_at":"2026-05-29T02:05:34.434929+00:00"}