{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:6CQQPBUXL63G2L3TBB4X6BV4AZ","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":"3a432348f29b2b2fd4e9155281791841950ea002951417f17623fe504eb4df19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2017-07-10T08:44:19Z","title_canon_sha256":"ac7e3648e0a9e7ea65f736b17c551079c8d39225f2a2492130575241d6d5cef9"},"schema_version":"1.0","source":{"id":"1707.02745","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.02745","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"arxiv_version","alias_value":"1707.02745v1","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.02745","created_at":"2026-05-18T00:40:35Z"},{"alias_kind":"pith_short_12","alias_value":"6CQQPBUXL63G","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_16","alias_value":"6CQQPBUXL63G2L3T","created_at":"2026-05-18T12:31:03Z"},{"alias_kind":"pith_short_8","alias_value":"6CQQPBUX","created_at":"2026-05-18T12:31:03Z"}],"graph_snapshots":[{"event_id":"sha256:41f21cdb4d7711dc3a34c08517ab38e31428dfdf8912c3d95a55918bef225d3f","target":"graph","created_at":"2026-05-18T00:40:35Z","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":"A robotic system which approximates the user intention and appropriate complimentary motion is critical for successful human-robot interaction. %While the existing wearable sensors can monitor human movements in real-time, prediction of human movement is a significant challenge due to its highly non-linear motions optimised through the redundancy in the degrees of freedom. Here, we demonstrate robustness of the Gaussian Process (GP) clustered with a stochastic classification technique for trajectory prediction using an object handover scenario. By parametrising real 6D hand movements during hu","authors_text":"Muriel Lang, Oliver Dunkley, Sandra Hirche, Satoshi Endo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2017-07-10T08:44:19Z","title":"Object Handover Prediction using Gaussian Processes clustered with Trajectory Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.02745","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":"sha256:6c96a40c8e2b3d06e851ff5c1b066c4af61af616394aa211cd874b5061fb515e","target":"record","created_at":"2026-05-18T00:40:35Z","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":"3a432348f29b2b2fd4e9155281791841950ea002951417f17623fe504eb4df19","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2017-07-10T08:44:19Z","title_canon_sha256":"ac7e3648e0a9e7ea65f736b17c551079c8d39225f2a2492130575241d6d5cef9"},"schema_version":"1.0","source":{"id":"1707.02745","kind":"arxiv","version":1}},"canonical_sha256":"f0a10786975fb66d2f7308797f06bc0677cebb09cb323f00be7bd24913eb1469","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f0a10786975fb66d2f7308797f06bc0677cebb09cb323f00be7bd24913eb1469","first_computed_at":"2026-05-18T00:40:35.924133Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:40:35.924133Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OV3ckWQdlmVF5pD8dRnN6zJPMNMrq11YQiJpT1DNtP8n99vAxev8xq+sid9JZB4cIWHwYyLcu7zkaOfyYS5/BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:40:35.924906Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.02745","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c96a40c8e2b3d06e851ff5c1b066c4af61af616394aa211cd874b5061fb515e","sha256:41f21cdb4d7711dc3a34c08517ab38e31428dfdf8912c3d95a55918bef225d3f"],"state_sha256":"34123d9aa723f482f3fe7011215355ab6d993116f3f0e776353a1470ce5b0b25"}