{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:NEFESDWW2YLVZ5TNX26RF4AQRM","short_pith_number":"pith:NEFESDWW","canonical_record":{"source":{"id":"1703.03921","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-11T07:32:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0056253b83ff33d802189197e8d145dc3ee4e0858721b934b215066955a8d927","abstract_canon_sha256":"2abbe8bba3503bdbb824a88342f93dd0e39e36bd4970ba0b49bad23690445857"},"schema_version":"1.0"},"canonical_sha256":"690a490ed6d6175cf66dbebd12f0108b182416b867a5225ce39b7e889ada9f7f","source":{"kind":"arxiv","id":"1703.03921","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03921","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03921v1","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03921","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"pith_short_12","alias_value":"NEFESDWW2YLV","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NEFESDWW2YLVZ5TN","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NEFESDWW","created_at":"2026-05-18T12:31:31Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:NEFESDWW2YLVZ5TNX26RF4AQRM","target":"record","payload":{"canonical_record":{"source":{"id":"1703.03921","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-11T07:32:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"0056253b83ff33d802189197e8d145dc3ee4e0858721b934b215066955a8d927","abstract_canon_sha256":"2abbe8bba3503bdbb824a88342f93dd0e39e36bd4970ba0b49bad23690445857"},"schema_version":"1.0"},"canonical_sha256":"690a490ed6d6175cf66dbebd12f0108b182416b867a5225ce39b7e889ada9f7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:04.744601Z","signature_b64":"IhoMmdxUwU9s4fg04lHr0nLM5HB02M5+Y+JyAStdk4YPvITymVpc9az3VGm+nGA5oRs2tIi9BuZpU98M1cLaBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"690a490ed6d6175cf66dbebd12f0108b182416b867a5225ce39b7e889ada9f7f","last_reissued_at":"2026-05-18T00:45:04.744226Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:04.744226Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.03921","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:45:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+GC5pB3zUVqr0sFDzoYQHjUHet+6H5LAQie3LkkT3RLcEg8qSJPuMZ7zts+EEH2bbd9VuwoARFGiLeHMorlRBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:58:45.876035Z"},"content_sha256":"b96c5e99fbab3cc5c734850d6849d3bf4244c4ac11cb242d496e510c9e4f0972","schema_version":"1.0","event_id":"sha256:b96c5e99fbab3cc5c734850d6849d3bf4244c4ac11cb242d496e510c9e4f0972"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:NEFESDWW2YLVZ5TNX26RF4AQRM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Gait Pattern Recognition Using Accelerometers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Vahid Alizadeh","submitted_at":"2017-03-11T07:32:01Z","abstract_excerpt":"Motion ability is one of the most important human properties, including gait as a basis of human transitional movement. Gait, as a biometric for recognizing human identities, can be non-intrusively captured signals using wearable or portable smart devices. In this study gait patterns is collected using a wireless platform of two sensors located at chest and right ankle of the subjects. Then the raw data has undergone some preprocessing methods and segmented into 5 seconds windows. Some time and frequency domain features is extracted and the performance evaluated by 5 different classifiers. Dec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03921","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:45:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aelxS2xwMOaLan6r9JAvRwwZ+b8zDLxhnXUxy91mDQ9fUptuu++7A6bL5EViep0b9GrsL4HcWCeMrgd5jKLhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T10:58:45.876832Z"},"content_sha256":"61fbc7764ad5c197c4d8a5bd348220a0311db9c210bfab1e89813a58ec95ac67","schema_version":"1.0","event_id":"sha256:61fbc7764ad5c197c4d8a5bd348220a0311db9c210bfab1e89813a58ec95ac67"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NEFESDWW2YLVZ5TNX26RF4AQRM/bundle.json","state_url":"https://pith.science/pith/NEFESDWW2YLVZ5TNX26RF4AQRM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NEFESDWW2YLVZ5TNX26RF4AQRM/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-21T10:58:45Z","links":{"resolver":"https://pith.science/pith/NEFESDWW2YLVZ5TNX26RF4AQRM","bundle":"https://pith.science/pith/NEFESDWW2YLVZ5TNX26RF4AQRM/bundle.json","state":"https://pith.science/pith/NEFESDWW2YLVZ5TNX26RF4AQRM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NEFESDWW2YLVZ5TNX26RF4AQRM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:NEFESDWW2YLVZ5TNX26RF4AQRM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2abbe8bba3503bdbb824a88342f93dd0e39e36bd4970ba0b49bad23690445857","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-11T07:32:01Z","title_canon_sha256":"0056253b83ff33d802189197e8d145dc3ee4e0858721b934b215066955a8d927"},"schema_version":"1.0","source":{"id":"1703.03921","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03921","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03921v1","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03921","created_at":"2026-05-18T00:45:04Z"},{"alias_kind":"pith_short_12","alias_value":"NEFESDWW2YLV","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_16","alias_value":"NEFESDWW2YLVZ5TN","created_at":"2026-05-18T12:31:31Z"},{"alias_kind":"pith_short_8","alias_value":"NEFESDWW","created_at":"2026-05-18T12:31:31Z"}],"graph_snapshots":[{"event_id":"sha256:61fbc7764ad5c197c4d8a5bd348220a0311db9c210bfab1e89813a58ec95ac67","target":"graph","created_at":"2026-05-18T00:45:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Motion ability is one of the most important human properties, including gait as a basis of human transitional movement. Gait, as a biometric for recognizing human identities, can be non-intrusively captured signals using wearable or portable smart devices. In this study gait patterns is collected using a wireless platform of two sensors located at chest and right ankle of the subjects. Then the raw data has undergone some preprocessing methods and segmented into 5 seconds windows. Some time and frequency domain features is extracted and the performance evaluated by 5 different classifiers. Dec","authors_text":"Vahid Alizadeh","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-11T07:32:01Z","title":"Gait Pattern Recognition Using Accelerometers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03921","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b96c5e99fbab3cc5c734850d6849d3bf4244c4ac11cb242d496e510c9e4f0972","target":"record","created_at":"2026-05-18T00:45:04Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2abbe8bba3503bdbb824a88342f93dd0e39e36bd4970ba0b49bad23690445857","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-11T07:32:01Z","title_canon_sha256":"0056253b83ff33d802189197e8d145dc3ee4e0858721b934b215066955a8d927"},"schema_version":"1.0","source":{"id":"1703.03921","kind":"arxiv","version":1}},"canonical_sha256":"690a490ed6d6175cf66dbebd12f0108b182416b867a5225ce39b7e889ada9f7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"690a490ed6d6175cf66dbebd12f0108b182416b867a5225ce39b7e889ada9f7f","first_computed_at":"2026-05-18T00:45:04.744226Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:04.744226Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"IhoMmdxUwU9s4fg04lHr0nLM5HB02M5+Y+JyAStdk4YPvITymVpc9az3VGm+nGA5oRs2tIi9BuZpU98M1cLaBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:04.744601Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.03921","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b96c5e99fbab3cc5c734850d6849d3bf4244c4ac11cb242d496e510c9e4f0972","sha256:61fbc7764ad5c197c4d8a5bd348220a0311db9c210bfab1e89813a58ec95ac67"],"state_sha256":"0a6ccc97611eaffa6d5f88e1f5f1e75b5b58465fc66beae0c0ba2e50ca511da6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bghy0TSERRhZJRyWlmKm4tmdivsXOXxelPnFbxNeayVHoUheF5/ZA73ONo6rfQA10HHaZ/+UUHl4H8XDg+SRDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T10:58:45.882505Z","bundle_sha256":"5295007dab0bab740bab0206aed57f69519966171d38ae439144abce58772321"}}