{"id":"W6996283782","doi":"","title":"Real-time human action and gesture recognition using skeleton joints information towards medical applications","year":2020,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Position (finance); Gesture; Articulation (sociology); Action (physics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000600705,0.0009820332,0.0006632066,0.001081273,0.0001999848,0.0006401971,0.000579438,0.0008208424,0.005377695],"category_scores_gemma":[0.001692839,0.000377671,0.0007244739,0.0009330586,0.0003929602,0.0007325558,0.0006875523,0.0005493072,0.002710358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003162448,"about_ca_system_score_gemma":0.0007276488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004157122,"about_ca_topic_score_gemma":0.006227814,"domain_scores_codex":[0.9994469,0.00009358842,0.00003662704,0.0001503256,0.0002178824,0.00005471275],"domain_scores_gemma":[0.9995694,0.0001228743,0.00005652173,0.00007222025,0.0001366562,0.00004235349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005418377,0.0000795598,0.00174735,0.0003682283,0.00006380123,0.0002896128,0.00009835415,0.01915264,0.1935748,0.001756784,0.004870537,0.7774565],"study_design_scores_gemma":[0.0000752963,0.0007087097,0.02443878,0.0002616479,0.0001539221,0.0016364,0.0001652135,0.7625382,0.1701623,0.007112739,0.0326421,0.0001047036],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04550508,0.004525733,0.9378866,0.0005006969,0.0002323426,0.0001274992,0.0006053002,0.005810378,0.004806322],"genre_scores_gemma":[0.57753,0.004400027,0.3995345,0.0003194435,0.0001918924,0.0001530888,0.001267277,0.0003232985,0.01628051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005377695,"threshold_uncertainty_score":0.01799011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790408737919589,"score_gpt":0.2202449588421813,"score_spread":0.2023408714629855,"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."}}