{"id":"W3112541994","doi":"10.18280/ts.370521","title":"Gesture Feature Extraction and Recognition Based on Image Processing","year":2020,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Gesture recognition; Gesture; Computer science; Artificial intelligence; Convolutional neural network; Preprocessor; Feature extraction; Computer vision; Pattern recognition (psychology); Sketch recognition; Feature (linguistics); Workflow; Speech recognition; Database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002625323,0.0007658442,0.0006579543,0.0009253804,0.0002314504,0.0006656509,0.000631485,0.0005537969,0.002624907],"category_scores_gemma":[0.000733437,0.0002671996,0.0006805952,0.0008645449,0.0004178801,0.0009223766,0.0004860508,0.0005303278,0.001445618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003609039,"about_ca_system_score_gemma":0.0004713325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002478245,"about_ca_topic_score_gemma":0.002896806,"domain_scores_codex":[0.9995683,0.00003024187,0.00003257687,0.0001141072,0.0002049772,0.00004991865],"domain_scores_gemma":[0.9998094,0.00004496079,0.00002467175,0.00003743354,0.00007374775,0.000009756855],"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":[0.0001531877,0.00005521496,0.000791975,0.0002497918,0.00004258199,0.0002435639,0.00006815993,0.01000522,0.3289886,0.00266912,0.0018547,0.654878],"study_design_scores_gemma":[0.00002321025,0.0003577658,0.01086449,0.00007879217,0.0001061279,0.001205535,0.00007961214,0.5150663,0.4466197,0.003683759,0.02182798,0.00008663023],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02025217,0.0006093769,0.9727001,0.0001079819,0.0001134636,0.0001677168,0.0001696051,0.002034626,0.003844957],"genre_scores_gemma":[0.2934592,0.001400665,0.6945231,0.0001815177,0.0001236306,0.0002542133,0.000572982,0.0002117684,0.009272917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002624907,"threshold_uncertainty_score":0.008781135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821741379284775,"score_gpt":0.2491490309117214,"score_spread":0.2209316171188737,"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."}}