{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:QLNW7IUXXVYK4CK67VFDDEOUMR","short_pith_number":"pith:QLNW7IUX","canonical_record":{"source":{"id":"2306.15765","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-27T19:29:35Z","cross_cats_sorted":[],"title_canon_sha256":"0a639942421eb3e68d26c3f3ded84cd47b65664527935e9d0d900d20fda98217","abstract_canon_sha256":"92b362a1acc2269b22deb9b93e86c3892f4ea29f9c7672bf0fa1293884a5e740"},"schema_version":"1.0"},"canonical_sha256":"82db6fa297bd70ae095efd4a3191d464407023e810826955c7cff16b2c749e9a","source":{"kind":"arxiv","id":"2306.15765","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.15765","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"arxiv_version","alias_value":"2306.15765v1","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.15765","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"pith_short_12","alias_value":"QLNW7IUXXVYK","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"pith_short_16","alias_value":"QLNW7IUXXVYK4CK6","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"pith_short_8","alias_value":"QLNW7IUX","created_at":"2026-07-05T06:25:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:QLNW7IUXXVYK4CK67VFDDEOUMR","target":"record","payload":{"canonical_record":{"source":{"id":"2306.15765","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-27T19:29:35Z","cross_cats_sorted":[],"title_canon_sha256":"0a639942421eb3e68d26c3f3ded84cd47b65664527935e9d0d900d20fda98217","abstract_canon_sha256":"92b362a1acc2269b22deb9b93e86c3892f4ea29f9c7672bf0fa1293884a5e740"},"schema_version":"1.0"},"canonical_sha256":"82db6fa297bd70ae095efd4a3191d464407023e810826955c7cff16b2c749e9a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:25:44.162288Z","signature_b64":"ITPeiQhVWzchcPaIgpH5+qefQmkVdomdjuKK7IFOB6yiH2P/XZ8P2+aPOVwvsMLN62QvQhqkdt+sqjuiR2OWDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"82db6fa297bd70ae095efd4a3191d464407023e810826955c7cff16b2c749e9a","last_reissued_at":"2026-07-05T06:25:44.161900Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:25:44.161900Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.15765","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":"2026-07-05T06:25:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UinRmZL7GmcAtyWK4gPiHmBHViuquZ/BMgioULVhBsDZXEGNevxeL28vgupaj3+/1/A/bg4SP1A6g/Z6fYhICQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:35:01.688961Z"},"content_sha256":"ee5623dcac7534c163361d23bc40e3d851ab45cdc98d50e6e44ab75759617c9f","schema_version":"1.0","event_id":"sha256:ee5623dcac7534c163361d23bc40e3d851ab45cdc98d50e6e44ab75759617c9f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:QLNW7IUXXVYK4CK67VFDDEOUMR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Egna Praneeth Gummana, Hari Mohan Pandey, Kamlesh Tiwari, Muhtashim Rafiqi, Santosh Kumar Yadav, Shaik Ali Akbara","submitted_at":"2023-06-27T19:29:35Z","abstract_excerpt":"This paper presents a novel multimodal human activity recognition system. It uses a two-stream decision level fusion of vision and inertial sensors. In the first stream, raw RGB frames are passed to a part affinity field-based pose estimation network to detect the keypoints of the user. These keypoints are then pre-processed and inputted in a sliding window fashion to a specially designed convolutional neural network for the spatial feature extraction followed by regularized LSTMs to calculate the temporal features. The outputs of LSTM networks are then inputted to fully connected layers for c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.15765","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2306.15765/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T06:25:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9BaAeyyHk+Vd/H7k9dlEcS+XOw3PErKDKnYKPfWt3soYn/YCXCLfmQA2J3npsSXY6IYPaR+8G6FLm8NUrmDbBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T15:35:01.689721Z"},"content_sha256":"0f9e2864fa7f292857af3d35dc3944e5130da1689876f9fd3d015b04ee5c4d67","schema_version":"1.0","event_id":"sha256:0f9e2864fa7f292857af3d35dc3944e5130da1689876f9fd3d015b04ee5c4d67"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QLNW7IUXXVYK4CK67VFDDEOUMR/bundle.json","state_url":"https://pith.science/pith/QLNW7IUXXVYK4CK67VFDDEOUMR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QLNW7IUXXVYK4CK67VFDDEOUMR/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":"2026-08-03T15:35:01Z","links":{"resolver":"https://pith.science/pith/QLNW7IUXXVYK4CK67VFDDEOUMR","bundle":"https://pith.science/pith/QLNW7IUXXVYK4CK67VFDDEOUMR/bundle.json","state":"https://pith.science/pith/QLNW7IUXXVYK4CK67VFDDEOUMR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QLNW7IUXXVYK4CK67VFDDEOUMR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:QLNW7IUXXVYK4CK67VFDDEOUMR","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":"92b362a1acc2269b22deb9b93e86c3892f4ea29f9c7672bf0fa1293884a5e740","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-27T19:29:35Z","title_canon_sha256":"0a639942421eb3e68d26c3f3ded84cd47b65664527935e9d0d900d20fda98217"},"schema_version":"1.0","source":{"id":"2306.15765","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.15765","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"arxiv_version","alias_value":"2306.15765v1","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.15765","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"pith_short_12","alias_value":"QLNW7IUXXVYK","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"pith_short_16","alias_value":"QLNW7IUXXVYK4CK6","created_at":"2026-07-05T06:25:44Z"},{"alias_kind":"pith_short_8","alias_value":"QLNW7IUX","created_at":"2026-07-05T06:25:44Z"}],"graph_snapshots":[{"event_id":"sha256:0f9e2864fa7f292857af3d35dc3944e5130da1689876f9fd3d015b04ee5c4d67","target":"graph","created_at":"2026-07-05T06:25:44Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2306.15765/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a novel multimodal human activity recognition system. It uses a two-stream decision level fusion of vision and inertial sensors. In the first stream, raw RGB frames are passed to a part affinity field-based pose estimation network to detect the keypoints of the user. These keypoints are then pre-processed and inputted in a sliding window fashion to a specially designed convolutional neural network for the spatial feature extraction followed by regularized LSTMs to calculate the temporal features. The outputs of LSTM networks are then inputted to fully connected layers for c","authors_text":"Egna Praneeth Gummana, Hari Mohan Pandey, Kamlesh Tiwari, Muhtashim Rafiqi, Santosh Kumar Yadav, Shaik Ali Akbara","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-27T19:29:35Z","title":"A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.15765","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:ee5623dcac7534c163361d23bc40e3d851ab45cdc98d50e6e44ab75759617c9f","target":"record","created_at":"2026-07-05T06:25:44Z","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":"92b362a1acc2269b22deb9b93e86c3892f4ea29f9c7672bf0fa1293884a5e740","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-06-27T19:29:35Z","title_canon_sha256":"0a639942421eb3e68d26c3f3ded84cd47b65664527935e9d0d900d20fda98217"},"schema_version":"1.0","source":{"id":"2306.15765","kind":"arxiv","version":1}},"canonical_sha256":"82db6fa297bd70ae095efd4a3191d464407023e810826955c7cff16b2c749e9a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82db6fa297bd70ae095efd4a3191d464407023e810826955c7cff16b2c749e9a","first_computed_at":"2026-07-05T06:25:44.161900Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:25:44.161900Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ITPeiQhVWzchcPaIgpH5+qefQmkVdomdjuKK7IFOB6yiH2P/XZ8P2+aPOVwvsMLN62QvQhqkdt+sqjuiR2OWDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:25:44.162288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.15765","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee5623dcac7534c163361d23bc40e3d851ab45cdc98d50e6e44ab75759617c9f","sha256:0f9e2864fa7f292857af3d35dc3944e5130da1689876f9fd3d015b04ee5c4d67"],"state_sha256":"2cd8a5794d14beb80f9d52e3974a2ab0f4995edb7c6b6039d928b19c6ff8b538"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3hXgexKBbRg0leBRpwJYCfkKlpH+GMyuct6vGOlNzhiotiu0tq34oAHBxCLLUC5BGhBj40y+ocPUl2S80RsoBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T15:35:01.695596Z","bundle_sha256":"2ba544c9b6f174644086322859d782ef08eb3219c81ed91e002ea2597e6d1850"}}