{"id":"W2910237648","doi":"10.1109/iros.2018.8593709","title":"Hands and Faces, Fast: Mono-Camera User Detection Robust Enough to Directly Control a UAV in Flight","year":2018,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Convolutional neural network; Computer vision; Benchmark (surveying); Gesture recognition; RGB color model; Face detection; Detector; Deep learning; Gesture; Robot; Object detection; Human–robot interaction; Facial recognition system; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003331611,0.0001484254,0.000221157,0.0002122867,0.0001026915,0.0002439734,0.0002387355,0.0000878408,0.00003968894],"category_scores_gemma":[0.0000396916,0.0001200505,0.00002922452,0.000516349,0.00003064894,0.0004131859,0.00008266066,0.00009000305,0.0002506234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004035478,"about_ca_system_score_gemma":0.00002490779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002762839,"about_ca_topic_score_gemma":0.001754763,"domain_scores_codex":[0.99873,0.0001089837,0.0002458674,0.000441648,0.0001942139,0.0002792934],"domain_scores_gemma":[0.9993124,0.00007849588,0.00005207174,0.0002761733,0.0001324149,0.0001484177],"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":[0.0001570235,0.0003391127,0.01017976,0.00006259361,0.000121633,0.00004675163,0.01241336,0.0003189031,0.04167613,0.002830697,0.005247429,0.9266066],"study_design_scores_gemma":[0.010693,0.002701173,0.05470245,0.0003620546,0.00003660014,0.0003140566,0.0005475261,0.1462965,0.2961611,0.0004711577,0.4857547,0.001959805],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1446329,0.00009156432,0.8456854,0.001264836,0.0004317849,0.0004422383,0.000002340172,0.0001767198,0.007272169],"genre_scores_gemma":[0.9925739,0.000006879747,0.004804782,0.0006842409,0.0001852349,0.00006507909,4.566288e-7,0.00000870377,0.001670758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9246468,"threshold_uncertainty_score":0.4895517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123474663909293,"score_gpt":0.2215807365945486,"score_spread":0.2103459899554556,"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."}}