{"id":"W4388477842","doi":"10.18280/ria.370511","title":"Improved Yoga Pose Detection Using MediaPipe and MoveNet in a Deep Learning Model","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Deep learning; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003868944,0.0001121222,0.0001257232,0.0003136462,0.0001840287,0.0001133815,0.0001822917,0.00007574927,0.0000230921],"category_scores_gemma":[0.00008785952,0.0001236774,0.00003959794,0.0007695656,0.00003257092,0.0004283291,0.0001195216,0.0002206631,0.0001176582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004822529,"about_ca_system_score_gemma":0.00002101439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005386648,"about_ca_topic_score_gemma":0.00008564164,"domain_scores_codex":[0.9989148,0.00005643075,0.0002759518,0.0003699343,0.00010388,0.0002789862],"domain_scores_gemma":[0.9995164,0.00008558139,0.00007949221,0.0001964683,0.00005178532,0.00007027508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000108109,0.00004456717,0.0001572297,0.00003852044,0.00000620677,0.00002048917,0.003630557,0.491243,0.1100787,0.0007055737,0.000007247263,0.3940571],"study_design_scores_gemma":[0.00003976464,0.00004126154,0.00007319579,0.0000337717,0.000002873701,0.0000161402,0.0003717891,0.9296032,0.0654318,0.004166247,0.00008809271,0.000131901],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4337628,0.00005055769,0.5655247,0.00007136663,0.0001562837,0.00009972393,4.519995e-7,0.0001380365,0.0001960635],"genre_scores_gemma":[0.996674,0.0001503609,0.002687768,0.00005263365,0.00005449954,0.00002711098,0.000002953918,0.0000111485,0.0003395241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5629112,"threshold_uncertainty_score":0.5043417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943360256368481,"score_gpt":0.2776899713131007,"score_spread":0.2282563687494159,"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."}}