{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:FXZNBAMDBRAI4VHK7OZHMXRBRA","short_pith_number":"pith:FXZNBAMD","canonical_record":{"source":{"id":"1612.06189","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-12-19T14:14:13Z","cross_cats_sorted":[],"title_canon_sha256":"8788bfaba6e69ba52a9ba0b218506a6cbdc33addc20a4557192efdfbf10faf8d","abstract_canon_sha256":"64267171a42832000384d4abbda65875cc8970eb92ceaab016c9d7a4e0e4856f"},"schema_version":"1.0"},"canonical_sha256":"2df2d081830c408e54eafbb2765e21882c769f7d3287e8c46aa4e5a00a657630","source":{"kind":"arxiv","id":"1612.06189","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.06189","created_at":"2026-05-18T00:54:42Z"},{"alias_kind":"arxiv_version","alias_value":"1612.06189v1","created_at":"2026-05-18T00:54:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06189","created_at":"2026-05-18T00:54:42Z"},{"alias_kind":"pith_short_12","alias_value":"FXZNBAMDBRAI","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"FXZNBAMDBRAI4VHK","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"FXZNBAMD","created_at":"2026-05-18T12:30:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:FXZNBAMDBRAI4VHK7OZHMXRBRA","target":"record","payload":{"canonical_record":{"source":{"id":"1612.06189","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-12-19T14:14:13Z","cross_cats_sorted":[],"title_canon_sha256":"8788bfaba6e69ba52a9ba0b218506a6cbdc33addc20a4557192efdfbf10faf8d","abstract_canon_sha256":"64267171a42832000384d4abbda65875cc8970eb92ceaab016c9d7a4e0e4856f"},"schema_version":"1.0"},"canonical_sha256":"2df2d081830c408e54eafbb2765e21882c769f7d3287e8c46aa4e5a00a657630","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:54:42.939925Z","signature_b64":"Lomt2rkohhXjwdlGsEFuqgwgFvbzS5nME01M9u2k76r9wNkSlLGkEm3hLJcVfNHlwgcVnR9N7cQw0IM4fAcVDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2df2d081830c408e54eafbb2765e21882c769f7d3287e8c46aa4e5a00a657630","last_reissued_at":"2026-05-18T00:54:42.939570Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:54:42.939570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1612.06189","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":"2026-05-18T00:54:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/V5gukjL7htNgCMhjAWKszSQm1v41b5twI/t7TOYrPzpsaJJTI/asSfekHn7qpdXFV35WXVXWBDkZOLXqvLSDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T04:46:12.168469Z"},"content_sha256":"967df573a094085e1932eb00d6453fe9f19e544c0d222d03384c225684ffffcd","schema_version":"1.0","event_id":"sha256:967df573a094085e1932eb00d6453fe9f19e544c0d222d03384c225684ffffcd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:FXZNBAMDBRAI4VHK7OZHMXRBRA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RFexpress! - Exploiting the wireless network edge for RF-based emotion sensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Muneeba Raja, Stephan Sigg","submitted_at":"2016-12-19T14:14:13Z","abstract_excerpt":"We present RFexpress! the first-ever network-edge based system to recognize emotion from movement, gesture and pose via Device-Free Activity Recognition (DFAR). With the proliferation of the IoT, also wireless access points are deployed at increasingly dense scale. in particular, this includes vehicular nodes (in-car WiFi or Bluetooth), office (Wlan APs, WiFi printer or projector) and private indoor domains (home WiFi mesh, Wireless media access), as well as public spaces (City/open WiFi, Cafes, shopping spaces). Processing RF-fluctuation at such edge-devices, enables environmental perception."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06189","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":"2026-05-18T00:54:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0ADzPgyAqSaAwL39gX9p4Zye6cdNznBTJ/EJiG7g4dZWB5PHMKX0t7n5C9jRvByR9M85ataosOeo2qGhnj5CBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-27T04:46:12.168816Z"},"content_sha256":"204e3b0816385e6c63562d057f7f4622361b5f546a1dba352d96a3e8041a02b8","schema_version":"1.0","event_id":"sha256:204e3b0816385e6c63562d057f7f4622361b5f546a1dba352d96a3e8041a02b8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FXZNBAMDBRAI4VHK7OZHMXRBRA/bundle.json","state_url":"https://pith.science/pith/FXZNBAMDBRAI4VHK7OZHMXRBRA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FXZNBAMDBRAI4VHK7OZHMXRBRA/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":"2026-06-27T04:46:12Z","links":{"resolver":"https://pith.science/pith/FXZNBAMDBRAI4VHK7OZHMXRBRA","bundle":"https://pith.science/pith/FXZNBAMDBRAI4VHK7OZHMXRBRA/bundle.json","state":"https://pith.science/pith/FXZNBAMDBRAI4VHK7OZHMXRBRA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FXZNBAMDBRAI4VHK7OZHMXRBRA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:FXZNBAMDBRAI4VHK7OZHMXRBRA","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":"64267171a42832000384d4abbda65875cc8970eb92ceaab016c9d7a4e0e4856f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-12-19T14:14:13Z","title_canon_sha256":"8788bfaba6e69ba52a9ba0b218506a6cbdc33addc20a4557192efdfbf10faf8d"},"schema_version":"1.0","source":{"id":"1612.06189","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1612.06189","created_at":"2026-05-18T00:54:42Z"},{"alias_kind":"arxiv_version","alias_value":"1612.06189v1","created_at":"2026-05-18T00:54:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1612.06189","created_at":"2026-05-18T00:54:42Z"},{"alias_kind":"pith_short_12","alias_value":"FXZNBAMDBRAI","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_16","alias_value":"FXZNBAMDBRAI4VHK","created_at":"2026-05-18T12:30:15Z"},{"alias_kind":"pith_short_8","alias_value":"FXZNBAMD","created_at":"2026-05-18T12:30:15Z"}],"graph_snapshots":[{"event_id":"sha256:204e3b0816385e6c63562d057f7f4622361b5f546a1dba352d96a3e8041a02b8","target":"graph","created_at":"2026-05-18T00:54:42Z","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":"We present RFexpress! the first-ever network-edge based system to recognize emotion from movement, gesture and pose via Device-Free Activity Recognition (DFAR). With the proliferation of the IoT, also wireless access points are deployed at increasingly dense scale. in particular, this includes vehicular nodes (in-car WiFi or Bluetooth), office (Wlan APs, WiFi printer or projector) and private indoor domains (home WiFi mesh, Wireless media access), as well as public spaces (City/open WiFi, Cafes, shopping spaces). Processing RF-fluctuation at such edge-devices, enables environmental perception.","authors_text":"Muneeba Raja, Stephan Sigg","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-12-19T14:14:13Z","title":"RFexpress! - Exploiting the wireless network edge for RF-based emotion sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1612.06189","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":"sha256:967df573a094085e1932eb00d6453fe9f19e544c0d222d03384c225684ffffcd","target":"record","created_at":"2026-05-18T00:54:42Z","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":"64267171a42832000384d4abbda65875cc8970eb92ceaab016c9d7a4e0e4856f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2016-12-19T14:14:13Z","title_canon_sha256":"8788bfaba6e69ba52a9ba0b218506a6cbdc33addc20a4557192efdfbf10faf8d"},"schema_version":"1.0","source":{"id":"1612.06189","kind":"arxiv","version":1}},"canonical_sha256":"2df2d081830c408e54eafbb2765e21882c769f7d3287e8c46aa4e5a00a657630","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2df2d081830c408e54eafbb2765e21882c769f7d3287e8c46aa4e5a00a657630","first_computed_at":"2026-05-18T00:54:42.939570Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:54:42.939570Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lomt2rkohhXjwdlGsEFuqgwgFvbzS5nME01M9u2k76r9wNkSlLGkEm3hLJcVfNHlwgcVnR9N7cQw0IM4fAcVDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:54:42.939925Z","signed_message":"canonical_sha256_bytes"},"source_id":"1612.06189","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:967df573a094085e1932eb00d6453fe9f19e544c0d222d03384c225684ffffcd","sha256:204e3b0816385e6c63562d057f7f4622361b5f546a1dba352d96a3e8041a02b8"],"state_sha256":"bcaae67c606d990d22f5db3a2a12f307c3ae2fe75a4d0f787c93d4e0bcecd3a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WWGFT6xgPI5x9VZRerOzGAXgTvGH2gbBapzu38qcrNQZShuwIYvcAU15RjDqiBHYiysm9YEv0Y1U7FAkePU+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-27T04:46:12.170681Z","bundle_sha256":"c864af71d642343099e71d8b0caab7cea51287dc530a3b0d81603bf64c50b7da"}}