{"id":"W2990618083","doi":"10.1109/smc.2019.8914464","title":"Smart Glove and Hand Gesture-based Control Interface For Multi-rotor Aerial Vehicles","year":2019,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Gesture recognition; Wired glove; Computer science; Gesture; Interface (matter); Computer vision; Artificial intelligence; Convolutional neural network; Throttle; Simulation; Engineering","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":[0.0003031607,0.0001491718,0.0002472175,0.00005905351,0.00006964539,0.0003213095,0.0002752721,0.00009738528,0.00002328824],"category_scores_gemma":[0.00004804163,0.0001145787,0.00006377239,0.00007788001,0.00003698482,0.0002191255,0.00003952776,0.00006788772,0.0001469544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001934374,"about_ca_system_score_gemma":0.00005506505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003606978,"about_ca_topic_score_gemma":0.00006062318,"domain_scores_codex":[0.9989558,0.00006909277,0.0002120052,0.0003822151,0.0001470667,0.0002337738],"domain_scores_gemma":[0.9991431,0.000251895,0.00007829269,0.0002856686,0.0001333675,0.0001076329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002259527,0.00134997,0.0867222,0.001427461,0.0007179807,0.00002735322,0.005838396,0.0005590475,0.6945379,0.02249069,0.01825649,0.165813],"study_design_scores_gemma":[0.04068524,0.001521994,0.01767339,0.0002876556,0.00005017912,0.00004805525,0.0001777049,0.5535514,0.2229481,0.0003984054,0.1613834,0.001274429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1023503,0.0001255627,0.8936282,0.0008016132,0.001020938,0.001482934,0.00001890814,0.0001124055,0.0004591324],"genre_scores_gemma":[0.9760995,8.663789e-7,0.02191579,0.0006552068,0.0001268498,0.0001006275,0.000002022183,0.00001057467,0.001088561],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8737492,"threshold_uncertainty_score":0.4672383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162406619136944,"score_gpt":0.2644906009361985,"score_spread":0.242866534744829,"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."}}