{"id":"W4221126731","doi":"10.18280/ts.390111","title":"Comparative Analysis of OpenPose, PoseNet, and MoveNet Models for Pose Estimation in Mobile Devices","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Thunder; Estimation; Mobile device; Artificial intelligence; Data mining; Geography; Meteorology; Engineering","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":[0.0002836722,0.00007770956,0.0002108665,0.0003495882,0.0001124908,0.00004712007,0.0001761882,0.00001332999,0.0001252053],"category_scores_gemma":[0.000001088096,0.00008130285,0.00005592707,0.0005021528,0.00001553985,0.0004190378,0.00007695471,0.00004681549,5.933666e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003773321,"about_ca_system_score_gemma":0.00002519312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003913925,"about_ca_topic_score_gemma":0.00008127002,"domain_scores_codex":[0.9991463,0.00007581626,0.0002643802,0.0002157292,0.000190328,0.0001074431],"domain_scores_gemma":[0.9996144,0.00008841578,0.0001299228,0.00008943871,0.00004789917,0.00002997426],"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":[0.00005342134,0.000308559,0.0004443245,0.00002200099,0.000243039,0.000001672612,0.003905885,0.9690534,0.002003292,0.007160751,0.0001372246,0.01666646],"study_design_scores_gemma":[0.000510173,0.0002645828,0.005901694,0.000005434652,0.00007975809,0.000001023122,0.0002820189,0.9884865,0.001379436,0.002826373,0.0001722942,0.00009070108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7310364,0.0001015004,0.267994,0.00004843376,0.00002902154,0.0004456242,0.00006762453,0.00001766148,0.0002596915],"genre_scores_gemma":[0.9924295,0.000004640851,0.007085537,0.0001272702,0.000007325402,0.0002281269,0.00009622749,0.00000239397,0.00001896266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2613931,"threshold_uncertainty_score":0.3315434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03830777199868675,"score_gpt":0.2962747317575524,"score_spread":0.2579669597588656,"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."}}