{"id":"W2581177282","doi":"10.1109/inventive.2016.7830112","title":"Online hand gesture recognition & classification for deaf & dumb","year":2016,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gesture; Sign language; Computer science; Interpreter; Gesture recognition; Sign (mathematics); Speech recognition; American Sign Language; Language interpretation; Cued speech; Natural language processing; Artificial intelligence; Linguistics; Programming language; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004012662,0.0001673106,0.0001853265,0.0001351206,0.0001642736,0.0001880694,0.0003875332,0.0001639626,0.00007903713],"category_scores_gemma":[0.0002437298,0.0001063609,0.00009972452,0.0002546466,0.0000368222,0.000540386,0.00005520428,0.00006948791,0.001271016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005755634,"about_ca_system_score_gemma":0.00006360818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001218464,"about_ca_topic_score_gemma":0.0005753658,"domain_scores_codex":[0.9985167,0.00009047605,0.0003489456,0.0005130296,0.000247173,0.0002836332],"domain_scores_gemma":[0.9983901,0.0003032518,0.0001586593,0.0005557101,0.0004591319,0.0001331759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002908565,0.0002898896,0.0006179322,0.00005636143,0.00004490779,8.964952e-7,0.000397275,5.289587e-7,0.06642798,0.004391752,0.04284521,0.8848982],"study_design_scores_gemma":[0.002050662,0.0001061187,0.009361096,0.0002346288,0.00002486626,0.0000793197,0.00004739638,0.0003748141,0.007568606,0.01719191,0.962376,0.0005845584],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02280337,0.00004995576,0.9646751,0.009378179,0.0006307941,0.0005203584,0.00008002746,0.0002873506,0.001574864],"genre_scores_gemma":[0.6770888,0.00009011381,0.2938726,0.001409066,0.001158899,0.0003656365,0.0003888301,0.00004149685,0.02558454],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9195308,"threshold_uncertainty_score":0.9995066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114283914982888,"score_gpt":0.308176258178505,"score_spread":0.1967478666802162,"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."}}