{"id":"W4405489710","doi":"10.1109/embc53108.2024.10782354","title":"Visual Scene Understanding for Enhanced EMG Gesture Recognition","year":2024,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Gesture; Gesture recognition; Speech recognition; Artificial intelligence; Computer vision; Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001691673,0.0007366665,0.0004337586,0.000451338,0.0001444223,0.000611444,0.0004666648,0.000460807,0.00372346],"category_scores_gemma":[0.0005694347,0.0001913614,0.0005417392,0.000247014,0.0002390351,0.0008000729,0.0008330553,0.0004766946,0.0007844674],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002247564,"about_ca_system_score_gemma":0.0002835112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001282502,"about_ca_topic_score_gemma":0.002554956,"domain_scores_codex":[0.999837,0.00002656423,0.000008280354,0.00005527946,0.00004949683,0.00002342024],"domain_scores_gemma":[0.9999046,0.00003103367,0.00001162791,0.00002081827,0.00002308508,0.000008726233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000227727,0.00008677114,0.0004199315,0.0002751492,0.00004353438,0.0002200568,0.0001210103,0.02622808,0.4584763,0.003378145,0.0022992,0.5082241],"study_design_scores_gemma":[0.00003062919,0.0003135312,0.005279901,0.00006737821,0.0000688681,0.0006895351,0.0001218205,0.7785761,0.1882737,0.009622207,0.0169046,0.00005167046],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04439352,0.0008044867,0.9464308,0.0002346729,0.00008138196,0.00008279955,0.0002484514,0.0030329,0.004691051],"genre_scores_gemma":[0.5856402,0.0009015317,0.4080008,0.0003428018,0.00008989698,0.00009037104,0.0006060294,0.0002940962,0.004034272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00372346,"threshold_uncertainty_score":0.01245624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07811220468161076,"score_gpt":0.3145098955355796,"score_spread":0.2363976908539689,"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."}}