{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:KSHRAWNGRLOZW3GW2VRZ3D7UPC","short_pith_number":"pith:KSHRAWNG","canonical_record":{"source":{"id":"1801.08252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T01:35:25Z","cross_cats_sorted":[],"title_canon_sha256":"3ff20f0df96d8dde7d145e80710ad496215fd6167722b88280fd195ca0649fc7","abstract_canon_sha256":"2d6aa1be1c5bd341a523fa5c18707df8a3ad628582733740a9f2e498934a2da9"},"schema_version":"1.0"},"canonical_sha256":"548f1059a68add9b6cd6d5639d8ff4789b117f1699a865e57e2a2e50b6fb4d30","source":{"kind":"arxiv","id":"1801.08252","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.08252","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"arxiv_version","alias_value":"1801.08252v1","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.08252","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"pith_short_12","alias_value":"KSHRAWNGRLOZ","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KSHRAWNGRLOZW3GW","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KSHRAWNG","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:KSHRAWNGRLOZW3GW2VRZ3D7UPC","target":"record","payload":{"canonical_record":{"source":{"id":"1801.08252","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T01:35:25Z","cross_cats_sorted":[],"title_canon_sha256":"3ff20f0df96d8dde7d145e80710ad496215fd6167722b88280fd195ca0649fc7","abstract_canon_sha256":"2d6aa1be1c5bd341a523fa5c18707df8a3ad628582733740a9f2e498934a2da9"},"schema_version":"1.0"},"canonical_sha256":"548f1059a68add9b6cd6d5639d8ff4789b117f1699a865e57e2a2e50b6fb4d30","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:25:06.736440Z","signature_b64":"6ofeE1kW9lEq0V8dOfpzz7TWevw9Za/MFER8Yt3cfZ3TMtqRO785oSKug1NbbC2Am734dZUd1Y8aATseQov3Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"548f1059a68add9b6cd6d5639d8ff4789b117f1699a865e57e2a2e50b6fb4d30","last_reissued_at":"2026-05-18T00:25:06.735881Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:25:06.735881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.08252","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":"2026-05-18T00:25:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uzJxkrIQN6ZNj0M+I3rej+2QQgQjCjeeyF+gIjUWf/KLXgb11BFRpQNnn3hrLFgfV4LEvhYWps7xi8iY0CwWCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:48:25.378598Z"},"content_sha256":"f2531108c4551f503dceb8d5005d14b93a5019ec79b57b17b3140c8be1724e1f","schema_version":"1.0","event_id":"sha256:f2531108c4551f503dceb8d5005d14b93a5019ec79b57b17b3140c8be1724e1f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:KSHRAWNGRLOZW3GW2VRZ3D7UPC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Personalized Human Activity Recognition Using Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hassan Ghasemzadeh, Marjan Nourollahi, Seyed Ali Rokni","submitted_at":"2018-01-25T01:35:25Z","abstract_excerpt":"A major barrier to the personalized Human Activity Recognition using wearable sensors is that the performance of the recognition model drops significantly upon adoption of the system by new users or changes in physical/ behavioral status of users. Therefore, the model needs to be retrained by collecting new labeled data in the new context. In this study, we develop a transfer learning framework using convolutional neural networks to build a personalized activity recognition model with minimal user supervision."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.08252","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":"2026-05-18T00:25:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xgqdGf+I0WGZ8bqNwz9uh2YiMSzeBqn9VzbcoMjFfmthaJfcrhBgnvkqeZxIUqlrFMlM/csJ7MQmX3xFA/uxDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T22:48:25.379205Z"},"content_sha256":"d1f42f578c2c758da5a5cf2c209af59de3dea9f09a6ef2ed724abbc293df43cc","schema_version":"1.0","event_id":"sha256:d1f42f578c2c758da5a5cf2c209af59de3dea9f09a6ef2ed724abbc293df43cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KSHRAWNGRLOZW3GW2VRZ3D7UPC/bundle.json","state_url":"https://pith.science/pith/KSHRAWNGRLOZW3GW2VRZ3D7UPC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KSHRAWNGRLOZW3GW2VRZ3D7UPC/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":"2026-05-25T22:48:25Z","links":{"resolver":"https://pith.science/pith/KSHRAWNGRLOZW3GW2VRZ3D7UPC","bundle":"https://pith.science/pith/KSHRAWNGRLOZW3GW2VRZ3D7UPC/bundle.json","state":"https://pith.science/pith/KSHRAWNGRLOZW3GW2VRZ3D7UPC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KSHRAWNGRLOZW3GW2VRZ3D7UPC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:KSHRAWNGRLOZW3GW2VRZ3D7UPC","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":"2d6aa1be1c5bd341a523fa5c18707df8a3ad628582733740a9f2e498934a2da9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T01:35:25Z","title_canon_sha256":"3ff20f0df96d8dde7d145e80710ad496215fd6167722b88280fd195ca0649fc7"},"schema_version":"1.0","source":{"id":"1801.08252","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.08252","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"arxiv_version","alias_value":"1801.08252v1","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.08252","created_at":"2026-05-18T00:25:06Z"},{"alias_kind":"pith_short_12","alias_value":"KSHRAWNGRLOZ","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"KSHRAWNGRLOZW3GW","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"KSHRAWNG","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:d1f42f578c2c758da5a5cf2c209af59de3dea9f09a6ef2ed724abbc293df43cc","target":"graph","created_at":"2026-05-18T00:25:06Z","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":"A major barrier to the personalized Human Activity Recognition using wearable sensors is that the performance of the recognition model drops significantly upon adoption of the system by new users or changes in physical/ behavioral status of users. Therefore, the model needs to be retrained by collecting new labeled data in the new context. In this study, we develop a transfer learning framework using convolutional neural networks to build a personalized activity recognition model with minimal user supervision.","authors_text":"Hassan Ghasemzadeh, Marjan Nourollahi, Seyed Ali Rokni","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T01:35:25Z","title":"Personalized Human Activity Recognition Using Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.08252","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:f2531108c4551f503dceb8d5005d14b93a5019ec79b57b17b3140c8be1724e1f","target":"record","created_at":"2026-05-18T00:25:06Z","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":"2d6aa1be1c5bd341a523fa5c18707df8a3ad628582733740a9f2e498934a2da9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-25T01:35:25Z","title_canon_sha256":"3ff20f0df96d8dde7d145e80710ad496215fd6167722b88280fd195ca0649fc7"},"schema_version":"1.0","source":{"id":"1801.08252","kind":"arxiv","version":1}},"canonical_sha256":"548f1059a68add9b6cd6d5639d8ff4789b117f1699a865e57e2a2e50b6fb4d30","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"548f1059a68add9b6cd6d5639d8ff4789b117f1699a865e57e2a2e50b6fb4d30","first_computed_at":"2026-05-18T00:25:06.735881Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:25:06.735881Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6ofeE1kW9lEq0V8dOfpzz7TWevw9Za/MFER8Yt3cfZ3TMtqRO785oSKug1NbbC2Am734dZUd1Y8aATseQov3Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:25:06.736440Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.08252","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f2531108c4551f503dceb8d5005d14b93a5019ec79b57b17b3140c8be1724e1f","sha256:d1f42f578c2c758da5a5cf2c209af59de3dea9f09a6ef2ed724abbc293df43cc"],"state_sha256":"5db56ac90f8c1494fcce5c2182b32c235f27fd06cf9c023a951ced19f570c728"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/MgzbsVOI0ZxOgBxHc7qCqKXxI4uQuSm9e8nxurGUy4Jq1y1OAsoDxAKOYdrQFjoqdQ7OMbRTesbPeWNRZFqDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T22:48:25.382843Z","bundle_sha256":"9483e0bf001b45677efd86d4c36682931838663edac7693ba4aad5a32b4a9da9"}}