{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:VHXOJJODK7JMXS3MBPIKV2PGOA","short_pith_number":"pith:VHXOJJOD","canonical_record":{"source":{"id":"1409.2050","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-06T19:30:34Z","cross_cats_sorted":[],"title_canon_sha256":"b5ceb2d1da161dc2e675c117d2a5747a5e0fdce15dff20250b8f8e49c5222a39","abstract_canon_sha256":"7b46dfa0841a560f1e4f89a573301ccc0660396b308f79f2f515dd1b7909995d"},"schema_version":"1.0"},"canonical_sha256":"a9eee4a5c357d2cbcb6c0bd0aae9e6702755b6fc56ad81994ddad93d0db22ff5","source":{"kind":"arxiv","id":"1409.2050","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.2050","created_at":"2026-05-18T02:25:26Z"},{"alias_kind":"arxiv_version","alias_value":"1409.2050v1","created_at":"2026-05-18T02:25:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.2050","created_at":"2026-05-18T02:25:26Z"},{"alias_kind":"pith_short_12","alias_value":"VHXOJJODK7JM","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"VHXOJJODK7JMXS3M","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"VHXOJJOD","created_at":"2026-05-18T12:28:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:VHXOJJODK7JMXS3MBPIKV2PGOA","target":"record","payload":{"canonical_record":{"source":{"id":"1409.2050","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-06T19:30:34Z","cross_cats_sorted":[],"title_canon_sha256":"b5ceb2d1da161dc2e675c117d2a5747a5e0fdce15dff20250b8f8e49c5222a39","abstract_canon_sha256":"7b46dfa0841a560f1e4f89a573301ccc0660396b308f79f2f515dd1b7909995d"},"schema_version":"1.0"},"canonical_sha256":"a9eee4a5c357d2cbcb6c0bd0aae9e6702755b6fc56ad81994ddad93d0db22ff5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:25:26.344206Z","signature_b64":"2OJ7zD8imybdRX8OLVrOwuQ0jInXb5QNWqmBffIcKEbnrR99HNNuJjjbdQt9nzU4CAtJrqLuQzsifknLev2BAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a9eee4a5c357d2cbcb6c0bd0aae9e6702755b6fc56ad81994ddad93d0db22ff5","last_reissued_at":"2026-05-18T02:25:26.343713Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:25:26.343713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1409.2050","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":"2026-05-18T02:25:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bVJGM8EjHU7o9VOcCShGgF1bMdnp+qn6xaY9Mc3XQrAR72M/0wudQYboVXZgbchhmxny/Wsw5rQ4i/o8B1RDAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T17:49:51.932772Z"},"content_sha256":"fc19b55e2fa2456eb3f008b9eecfce25f2606617a6cf7b5a500639e9153273d9","schema_version":"1.0","event_id":"sha256:fc19b55e2fa2456eb3f008b9eecfce25f2606617a6cf7b5a500639e9153273d9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:VHXOJJODK7JMXS3MBPIKV2PGOA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Depth image hand tracking from an overhead perspective using partially labeled, unbalanced data: Development and real-world testing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alex Mihailidis, Stephen Czarnuch","submitted_at":"2014-09-06T19:30:34Z","abstract_excerpt":"We present the development and evaluation of a hand tracking algorithm based on single depth images captured from an overhead perspective for use in the COACH prompting system. We train a random decision forest body part classifier using approximately 5,000 manually labeled, unbalanced, partially labeled training images. The classifier represents a random subset of pixels in each depth image with a learned probability density function across all trained body parts. A local mode-find approach is used to search for clusters present in the underlying feature space sampled by the classified pixels"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.2050","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":"2026-05-18T02:25:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EMzxocntdwMUMfjj9A9ezTDohIknSh9UKLo997o2E0aV+YUqgFAwgQ/ja8OTf0VU4BWp6Igi4jsmozxTgEKCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T17:49:51.933102Z"},"content_sha256":"4ba9d79f87aeda48d143b25837438d63f5744bbfcfb1fe8f66dd0db203c9f3a8","schema_version":"1.0","event_id":"sha256:4ba9d79f87aeda48d143b25837438d63f5744bbfcfb1fe8f66dd0db203c9f3a8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VHXOJJODK7JMXS3MBPIKV2PGOA/bundle.json","state_url":"https://pith.science/pith/VHXOJJODK7JMXS3MBPIKV2PGOA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VHXOJJODK7JMXS3MBPIKV2PGOA/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":"2026-06-22T17:49:51Z","links":{"resolver":"https://pith.science/pith/VHXOJJODK7JMXS3MBPIKV2PGOA","bundle":"https://pith.science/pith/VHXOJJODK7JMXS3MBPIKV2PGOA/bundle.json","state":"https://pith.science/pith/VHXOJJODK7JMXS3MBPIKV2PGOA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VHXOJJODK7JMXS3MBPIKV2PGOA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:VHXOJJODK7JMXS3MBPIKV2PGOA","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":"7b46dfa0841a560f1e4f89a573301ccc0660396b308f79f2f515dd1b7909995d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-06T19:30:34Z","title_canon_sha256":"b5ceb2d1da161dc2e675c117d2a5747a5e0fdce15dff20250b8f8e49c5222a39"},"schema_version":"1.0","source":{"id":"1409.2050","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1409.2050","created_at":"2026-05-18T02:25:26Z"},{"alias_kind":"arxiv_version","alias_value":"1409.2050v1","created_at":"2026-05-18T02:25:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1409.2050","created_at":"2026-05-18T02:25:26Z"},{"alias_kind":"pith_short_12","alias_value":"VHXOJJODK7JM","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"VHXOJJODK7JMXS3M","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"VHXOJJOD","created_at":"2026-05-18T12:28:54Z"}],"graph_snapshots":[{"event_id":"sha256:4ba9d79f87aeda48d143b25837438d63f5744bbfcfb1fe8f66dd0db203c9f3a8","target":"graph","created_at":"2026-05-18T02:25:26Z","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 the development and evaluation of a hand tracking algorithm based on single depth images captured from an overhead perspective for use in the COACH prompting system. We train a random decision forest body part classifier using approximately 5,000 manually labeled, unbalanced, partially labeled training images. The classifier represents a random subset of pixels in each depth image with a learned probability density function across all trained body parts. A local mode-find approach is used to search for clusters present in the underlying feature space sampled by the classified pixels","authors_text":"Alex Mihailidis, Stephen Czarnuch","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-06T19:30:34Z","title":"Depth image hand tracking from an overhead perspective using partially labeled, unbalanced data: Development and real-world testing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1409.2050","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:fc19b55e2fa2456eb3f008b9eecfce25f2606617a6cf7b5a500639e9153273d9","target":"record","created_at":"2026-05-18T02:25:26Z","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":"7b46dfa0841a560f1e4f89a573301ccc0660396b308f79f2f515dd1b7909995d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2014-09-06T19:30:34Z","title_canon_sha256":"b5ceb2d1da161dc2e675c117d2a5747a5e0fdce15dff20250b8f8e49c5222a39"},"schema_version":"1.0","source":{"id":"1409.2050","kind":"arxiv","version":1}},"canonical_sha256":"a9eee4a5c357d2cbcb6c0bd0aae9e6702755b6fc56ad81994ddad93d0db22ff5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a9eee4a5c357d2cbcb6c0bd0aae9e6702755b6fc56ad81994ddad93d0db22ff5","first_computed_at":"2026-05-18T02:25:26.343713Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:25:26.343713Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2OJ7zD8imybdRX8OLVrOwuQ0jInXb5QNWqmBffIcKEbnrR99HNNuJjjbdQt9nzU4CAtJrqLuQzsifknLev2BAA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:25:26.344206Z","signed_message":"canonical_sha256_bytes"},"source_id":"1409.2050","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc19b55e2fa2456eb3f008b9eecfce25f2606617a6cf7b5a500639e9153273d9","sha256:4ba9d79f87aeda48d143b25837438d63f5744bbfcfb1fe8f66dd0db203c9f3a8"],"state_sha256":"4da7aec3c5a6c2db376570e0bd5ce8c5635d2bc4d2d3c708ab2073dcf9c8894d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fNtyAAZCJ3aiKlS6EALGLZy4DFvQTiEN3VYHpEZ+DNHcyUCpxECS34KaK5PUfnKQvTwZrXP2vuTtgtotBp5GCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T17:49:51.934954Z","bundle_sha256":"08c626f2a84ce7c1749a379ebb3301a8ed1924cc444b374fcf257625be3403fb"}}