{"id":"W2098449075","doi":"10.1109/vecims.2011.6053846","title":"Multimodal control of virtual game environments through gestures and physical controllers","year":2011,"lang":"en","type":"article","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Gesture; Computer science; Controller (irrigation); Accelerometer; Video game; Gesture recognition; Virtual reality; Interface (matter); Gyroscope; Human–computer interaction; Object (grammar); Artificial intelligence; Computer vision; Multimedia; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003066439,0.0005320673,0.0003000025,0.0002855443,0.0002188939,0.0009578505,0.0004678921,0.0002713868,0.003414039],"category_scores_gemma":[0.001041224,0.0001790749,0.0002111698,0.0001130405,0.0005602842,0.0006412758,0.001293322,0.0002504796,0.0003866934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586597,"about_ca_system_score_gemma":0.0001907186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009374236,"about_ca_topic_score_gemma":0.001479056,"domain_scores_codex":[0.9996678,0.00008062439,0.00001800096,0.00006140347,0.0001296989,0.00004256426],"domain_scores_gemma":[0.9998054,0.00007839886,0.00002661195,0.00002687584,0.00002969417,0.00003312211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008399898,0.0001922762,0.00229379,0.0002199588,0.00004958855,0.0005523228,0.001244217,0.02457104,0.5756758,0.009349167,0.001810932,0.3832009],"study_design_scores_gemma":[0.0003987975,0.00233532,0.04089192,0.0002294051,0.0002121731,0.002744265,0.001437878,0.542901,0.3304271,0.017942,0.06015024,0.0003299266],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3363484,0.0008778266,0.6375503,0.0001915568,0.00009780567,0.000198398,0.00009317724,0.002956475,0.02168612],"genre_scores_gemma":[0.9249975,0.00024483,0.06996474,0.0000656975,0.00002311294,0.0001182932,0.00004762091,0.00008216339,0.004456024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003414039,"threshold_uncertainty_score":0.01142108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01859801046804008,"score_gpt":0.2238651913536855,"score_spread":0.2052671808856454,"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."}}