{"id":"W2767120470","doi":"10.1155/2017/2162078","title":"Hand Motion and Posture Recognition in a Network of Calibrated Cameras","year":2017,"lang":"en","type":"article","venue":"Advances in Multimedia","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer vision; Gesture recognition; Computer science; Trajectory; Gesture; Motion (physics); Feature (linguistics); Tracking (education); Kalman filter; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164069,0.00009846221,0.0002039889,0.00007446163,0.00008031882,0.0000871588,0.0002628642,0.00008523648,0.00000417115],"category_scores_gemma":[0.0002178645,0.00009020233,0.00001681628,0.000171976,0.0001104639,0.001247104,0.0000800442,0.0001290716,0.000007931167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001801474,"about_ca_system_score_gemma":0.00001667176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001514915,"about_ca_topic_score_gemma":0.001080321,"domain_scores_codex":[0.9990698,0.00009826393,0.0002634937,0.0002610675,0.0001285973,0.0001788126],"domain_scores_gemma":[0.9992349,0.0001427729,0.0002210531,0.0002791391,0.00007515811,0.00004697742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002047661,0.00004531067,0.116605,0.00004556378,0.000004327958,0.00002697464,0.001177869,0.0001910619,0.0007212039,0.0000687912,0.00001649779,0.8810769],"study_design_scores_gemma":[0.004660188,0.0001744663,0.8082632,0.001165776,0.000009683337,0.00006066573,0.0001789484,0.1597874,0.006882097,0.01606087,0.002161916,0.0005947599],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698884,0.008214462,0.1137988,0.0008059923,0.002358453,0.001042539,0.00002762194,0.00008499488,0.00377866],"genre_scores_gemma":[0.9817845,0.0003938454,0.01764505,0.00003961096,0.00008836934,0.00002286302,0.000008984842,0.000005224108,0.00001156561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8804821,"threshold_uncertainty_score":0.3678344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01509156326865392,"score_gpt":0.2747001742552807,"score_spread":0.2596086109866268,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}