{"id":"W2164627420","doi":"10.1109/crv.2011.34","title":"Gesture Analysis Using 3D Camera, Shape Features and Particle Filters","year":2011,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Gesture; Particle filter; Computer science; Gesture recognition; Computer vision; Artificial intelligence; Tracking (education); Set (abstract data type); Throwing; Video game; Kalman filter; Multimedia; Engineering","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":[0.0003343284,0.0000999324,0.0001675519,0.00008096968,0.00009881795,0.0001069686,0.0002682274,0.00004462465,0.00007832865],"category_scores_gemma":[0.00002616809,0.00007817483,0.00006664785,0.0006667708,0.00003250758,0.0003108644,0.0001179829,0.00008116831,0.000005448736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007897831,"about_ca_system_score_gemma":0.00001328266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003314152,"about_ca_topic_score_gemma":0.00009469027,"domain_scores_codex":[0.9991409,0.00009765033,0.0001156183,0.000304705,0.0001235402,0.0002176541],"domain_scores_gemma":[0.9994055,0.00006680618,0.00004267761,0.000362782,0.0000380718,0.00008413463],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002123293,0.0001233669,0.7530743,0.00002098429,0.0008687307,0.0001239348,0.009631736,0.0005423367,0.007632495,0.01839022,0.0003830729,0.2091876],"study_design_scores_gemma":[0.000218263,0.00005290214,0.7705185,0.00000628997,0.000138035,0.00003925502,0.0001003967,0.2189851,0.008278099,0.00122725,0.0001301655,0.0003058017],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5871902,0.0003207428,0.4088306,0.0001566398,0.0001364511,0.00005358005,8.936376e-7,0.0001407656,0.003170106],"genre_scores_gemma":[0.726173,0.000009888649,0.2733277,0.0003871522,0.00001723433,0.00000119514,3.103994e-7,0.000003359934,0.00008015273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2184428,"threshold_uncertainty_score":0.3187877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05808194197703601,"score_gpt":0.2972643374288664,"score_spread":0.2391823954518304,"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."}}