{"id":"W4400910803","doi":"10.1109/ic_aset61847.2024.10596214","title":"Breaking Barriers: Real-Time Sign Language Recognition Using LSTM Networks for Enhanced Communication Accessibility","year":2024,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Computer science; Sign language; Sign (mathematics); Speech recognition; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001213538,0.0001564476,0.0002003122,0.0001195823,0.0002180297,0.000675834,0.0005262819,0.0001340816,0.0001217582],"category_scores_gemma":[0.0001055564,0.0001393509,0.000109195,0.0005123999,0.00003085897,0.001139793,0.0001420354,0.0001373639,0.000071788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121067,"about_ca_system_score_gemma":0.000102074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001282297,"about_ca_topic_score_gemma":0.00003447197,"domain_scores_codex":[0.9984267,0.0002627448,0.0003772163,0.0004845514,0.0001774769,0.000271268],"domain_scores_gemma":[0.9983617,0.0006065391,0.0001044702,0.0006345639,0.0001807001,0.0001120157],"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":[0.00003335306,0.00005396602,0.00003434973,0.0003073874,0.0001158475,0.000009182686,0.006032126,0.0004823105,0.08343892,0.001472354,0.001380193,0.90664],"study_design_scores_gemma":[0.0003203003,0.00004805275,0.00008226983,0.0005825626,0.00003293978,0.00002486253,0.0003783799,0.9709404,0.02347964,0.003277354,0.0004666058,0.0003666547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04018225,0.0003572537,0.9503443,0.0001551023,0.0003803801,0.0005870312,0.00001175214,0.0007242723,0.007257623],"genre_scores_gemma":[0.9289537,0.00003248214,0.07027585,0.000123356,0.0002149947,0.00008888409,0.0000629185,0.00001952797,0.0002282781],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9704581,"threshold_uncertainty_score":0.6517082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03159823170764631,"score_gpt":0.3171672600989566,"score_spread":0.2855690283913103,"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."}}