{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:PDJNLSF4R5OGPNGCBKW3DFKXBV","short_pith_number":"pith:PDJNLSF4","schema_version":"1.0","canonical_sha256":"78d2d5c8bc8f5c67b4c20aadb195570d5e9c53915b1bb188c2efc01b5f55e3a6","source":{"kind":"arxiv","id":"1508.00761","version":1},"attestation_state":"computed","paper":{"title":"Recognition of Emotions using Kinects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.HC"],"primary_cat":"cs.CY","authors_text":"Baobin Li, Changye Zhu, Liqing Cui, Nan Zhao, Shun Li, Tingshao Zhu","submitted_at":"2015-08-04T13:03:27Z","abstract_excerpt":"Psychological studies indicate that emotional states are expressed in the way people walk and the human gait is investigated in terms of its ability to reveal a person's emotional state. And Microsoft Kinect is a rapidly developing, inexpensive, portable and no-marker motion capture system. This paper gives a new referable method to do emotion recognition, by using Microsoft Kinect to do gait pattern analysis, which has not been reported. $59$ subjects are recruited in this study and their gait patterns are record by two Kinect cameras. Significant joints selecting, Coordinate system transform"},"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":"1508.00761","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CY","submitted_at":"2015-08-04T13:03:27Z","cross_cats_sorted":["cs.CV","cs.HC"],"title_canon_sha256":"740aa8f02f6478c06f84cb2a489fca8eb6fc9d49f11b35bbb1800964c9373f95","abstract_canon_sha256":"7ce0d756bcfef69f8a301815d1fea5cf2e3a7a18a29b42bf59273f1ef6059795"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:35:53.417723Z","signature_b64":"q1QhBKIgHAnQWrraD0+mADrqeQSOAewkm57go2stvjJmh11v5MPlBeqhGYAoes/ZisGElEdd9KN/khcUy60PDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"78d2d5c8bc8f5c67b4c20aadb195570d5e9c53915b1bb188c2efc01b5f55e3a6","last_reissued_at":"2026-05-18T01:35:53.417176Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:35:53.417176Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Recognition of Emotions using Kinects","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV","cs.HC"],"primary_cat":"cs.CY","authors_text":"Baobin Li, Changye Zhu, Liqing Cui, Nan Zhao, Shun Li, Tingshao Zhu","submitted_at":"2015-08-04T13:03:27Z","abstract_excerpt":"Psychological studies indicate that emotional states are expressed in the way people walk and the human gait is investigated in terms of its ability to reveal a person's emotional state. And Microsoft Kinect is a rapidly developing, inexpensive, portable and no-marker motion capture system. This paper gives a new referable method to do emotion recognition, by using Microsoft Kinect to do gait pattern analysis, which has not been reported. $59$ subjects are recruited in this study and their gait patterns are record by two Kinect cameras. Significant joints selecting, Coordinate system transform"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.00761","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":"1508.00761","created_at":"2026-05-18T01:35:53.417263+00:00"},{"alias_kind":"arxiv_version","alias_value":"1508.00761v1","created_at":"2026-05-18T01:35:53.417263+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.00761","created_at":"2026-05-18T01:35:53.417263+00:00"},{"alias_kind":"pith_short_12","alias_value":"PDJNLSF4R5OG","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_16","alias_value":"PDJNLSF4R5OGPNGC","created_at":"2026-05-18T12:29:37.295048+00:00"},{"alias_kind":"pith_short_8","alias_value":"PDJNLSF4","created_at":"2026-05-18T12:29:37.295048+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/PDJNLSF4R5OGPNGCBKW3DFKXBV","json":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV.json","graph_json":"https://pith.science/api/pith-number/PDJNLSF4R5OGPNGCBKW3DFKXBV/graph.json","events_json":"https://pith.science/api/pith-number/PDJNLSF4R5OGPNGCBKW3DFKXBV/events.json","paper":"https://pith.science/paper/PDJNLSF4"},"agent_actions":{"view_html":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV","download_json":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV.json","view_paper":"https://pith.science/paper/PDJNLSF4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1508.00761&json=true","fetch_graph":"https://pith.science/api/pith-number/PDJNLSF4R5OGPNGCBKW3DFKXBV/graph.json","fetch_events":"https://pith.science/api/pith-number/PDJNLSF4R5OGPNGCBKW3DFKXBV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV/action/storage_attestation","attest_author":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV/action/author_attestation","sign_citation":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV/action/citation_signature","submit_replication":"https://pith.science/pith/PDJNLSF4R5OGPNGCBKW3DFKXBV/action/replication_record"}},"created_at":"2026-05-18T01:35:53.417263+00:00","updated_at":"2026-05-18T01:35:53.417263+00:00"}