{"id":"W4234330444","doi":"10.32920/ryerson.14655699","title":"Engagement Detection Framework for Hand Gesture and Posture Recognition","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Gesture; Disengagement theory; Computer science; Action (physics); Artificial intelligence; Feature (linguistics); Object (grammar); Human–computer interaction; Gesture recognition; Gaze; Discriminative model; Computer vision; Pattern recognition (psychology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007188867,0.0008995073,0.001262919,0.001382794,0.0003458981,0.001002261,0.001478432,0.001022429,0.004031857],"category_scores_gemma":[0.00129737,0.0003253614,0.001501994,0.0006424519,0.0003816559,0.0009892479,0.00110185,0.001087795,0.002357455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009009375,"about_ca_system_score_gemma":0.0009848145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01027479,"about_ca_topic_score_gemma":0.009350901,"domain_scores_codex":[0.9988172,0.0001100666,0.00009241865,0.0004103426,0.0004194103,0.0001506876],"domain_scores_gemma":[0.9996439,0.00006957725,0.00004941173,0.00003961947,0.0001648091,0.00003262479],"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":[0.0003994468,0.000301204,0.002758494,0.0002487602,0.000149782,0.0003234604,0.0001382472,0.03543292,0.0665064,0.008800636,0.005662919,0.8792777],"study_design_scores_gemma":[0.00002613917,0.000243247,0.003659775,0.00004409347,0.00006088365,0.0003439453,0.00005991538,0.9632519,0.01624494,0.00740901,0.008610259,0.00004590684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003698907,0.0004019568,0.9922494,0.00006619203,0.00003595916,0.000116853,0.0001580091,0.002215169,0.001057594],"genre_scores_gemma":[0.3549762,0.001037263,0.6278976,0.000430705,0.0001810986,0.0009891988,0.001992003,0.0002197865,0.01227613],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01027479,"threshold_uncertainty_score":0.02042997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885436298260926,"score_gpt":0.2851612602853466,"score_spread":0.2363068973027374,"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."}}