{"id":"W2886574382","doi":"10.1109/civemsa.2018.8439952","title":"Teaching a Robot Sign Language using Vision-Based Hand Gesture Recognition","year":2018,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Gesture; Computer science; Artificial intelligence; Gesture recognition; Support vector machine; Speech recognition; Pattern recognition (psychology); Classifier (UML); Sign language; Computer vision; Hidden Markov model; Robot","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":[0.0003239642,0.0003962918,0.0005731551,0.0003325577,0.0002769346,0.0004638355,0.0006676055,0.0004914808,0.004627563],"category_scores_gemma":[0.0008244436,0.0002010492,0.0003916167,0.0002354555,0.0002996881,0.0008760948,0.0005428856,0.0004419359,0.002086266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002013675,"about_ca_system_score_gemma":0.000628323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053926,"about_ca_topic_score_gemma":0.001899666,"domain_scores_codex":[0.999683,0.0000380911,0.00002693906,0.00008703736,0.0001313489,0.00003358086],"domain_scores_gemma":[0.9997504,0.00007478484,0.00003008122,0.00003870662,0.000070124,0.0000359663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001268732,0.0001667913,0.001181989,0.0002909378,0.00002542186,0.000264134,0.0001499409,0.004070059,0.3871092,0.000967821,0.002439053,0.6032079],"study_design_scores_gemma":[0.0001101386,0.001583933,0.01097572,0.0001400488,0.0001514127,0.00270735,0.0003348288,0.3686451,0.5743702,0.002426808,0.03836228,0.000192115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09348164,0.0005397159,0.885671,0.0002379087,0.0001998461,0.0002916048,0.000125273,0.01007427,0.009378743],"genre_scores_gemma":[0.5117185,0.0004750947,0.4723006,0.0002632135,0.00005889808,0.0002380493,0.0002200526,0.0002499696,0.01447563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004627563,"threshold_uncertainty_score":0.0154807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02995806555997378,"score_gpt":0.3001713513371043,"score_spread":0.2702132857771305,"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."}}