{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:AAAOAM5C6FTBXWEYVXRK5ZPTCR","short_pith_number":"pith:AAAOAM5C","schema_version":"1.0","canonical_sha256":"0000e033a2f1661bd898ade2aee5f31442190cb3f2c3d74be8de613824cd24f9","source":{"kind":"arxiv","id":"1811.08006","version":1},"attestation_state":"computed","paper":{"title":"Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.HC","authors_text":"Anders Hedman, Bin Yang, Haibo Li, Luc Van Gool, Thomas Olofsson, Xiaogang Cheng","submitted_at":"2018-11-12T18:24:48Z","abstract_excerpt":"Human thermal comfort measurement plays a critical role in giving feedback signals for building energy efficiency. A non-invasive measuring method based on subtleness magnification and deep learning (NIDL) was designed to achieve a comfortable, energy efficient built environment. The method relies on skin feature data, e.g., subtle motion and texture variation, and a 315-layer deep neural network for constructing the relationship between skin features and skin temperature. A physiological experiment was conducted for collecting feature data (1.44 million) and algorithm validation. The non-inva"},"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":"1811.08006","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2018-11-12T18:24:48Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"774c33edae8d9cc1c28e9318fbc37cc3bc0afb314f3982047c333e323527d087","abstract_canon_sha256":"517496a28ed47a73d57cccd5517477c0ac293ce32c83edbfd1de0e22ab1bf61e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:00:17.147615Z","signature_b64":"iCZeZBYrXupdo7P8jkBys1yoWVgdxsojcMuGYCL3wZ2tgbLVTC4cf53RnW0uNkWsXcMkOVomtGoqTn26VFn+DQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0000e033a2f1661bd898ade2aee5f31442190cb3f2c3d74be8de613824cd24f9","last_reissued_at":"2026-05-18T00:00:17.146970Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:00:17.146970Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Non-invasive thermal comfort perception based on subtleness magnification and deep learning for energy efficiency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.HC","authors_text":"Anders Hedman, Bin Yang, Haibo Li, Luc Van Gool, Thomas Olofsson, Xiaogang Cheng","submitted_at":"2018-11-12T18:24:48Z","abstract_excerpt":"Human thermal comfort measurement plays a critical role in giving feedback signals for building energy efficiency. A non-invasive measuring method based on subtleness magnification and deep learning (NIDL) was designed to achieve a comfortable, energy efficient built environment. The method relies on skin feature data, e.g., subtle motion and texture variation, and a 315-layer deep neural network for constructing the relationship between skin features and skin temperature. A physiological experiment was conducted for collecting feature data (1.44 million) and algorithm validation. The non-inva"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1811.08006","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1811.08006","created_at":"2026-05-18T00:00:17.147066+00:00"},{"alias_kind":"arxiv_version","alias_value":"1811.08006v1","created_at":"2026-05-18T00:00:17.147066+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1811.08006","created_at":"2026-05-18T00:00:17.147066+00:00"},{"alias_kind":"pith_short_12","alias_value":"AAAOAM5C6FTB","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_16","alias_value":"AAAOAM5C6FTBXWEY","created_at":"2026-05-18T12:32:13.499390+00:00"},{"alias_kind":"pith_short_8","alias_value":"AAAOAM5C","created_at":"2026-05-18T12:32:13.499390+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/AAAOAM5C6FTBXWEYVXRK5ZPTCR","json":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR.json","graph_json":"https://pith.science/api/pith-number/AAAOAM5C6FTBXWEYVXRK5ZPTCR/graph.json","events_json":"https://pith.science/api/pith-number/AAAOAM5C6FTBXWEYVXRK5ZPTCR/events.json","paper":"https://pith.science/paper/AAAOAM5C"},"agent_actions":{"view_html":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR","download_json":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR.json","view_paper":"https://pith.science/paper/AAAOAM5C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1811.08006&json=true","fetch_graph":"https://pith.science/api/pith-number/AAAOAM5C6FTBXWEYVXRK5ZPTCR/graph.json","fetch_events":"https://pith.science/api/pith-number/AAAOAM5C6FTBXWEYVXRK5ZPTCR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/action/storage_attestation","attest_author":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/action/author_attestation","sign_citation":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/action/citation_signature","submit_replication":"https://pith.science/pith/AAAOAM5C6FTBXWEYVXRK5ZPTCR/action/replication_record"}},"created_at":"2026-05-18T00:00:17.147066+00:00","updated_at":"2026-05-18T00:00:17.147066+00:00"}