{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001089971,0.0001300576,0.0002890059,0.00003249369,0.00002940526,0.0000206665,0.0002589847,0.00005644998,0.00002194924],"category_scores_gemma":[0.0000171089,0.00009569399,0.00006597309,0.00005754871,0.0001115628,0.0003035719,0.00007156331,0.00007415153,0.00004820274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008109634,"about_ca_system_score_gemma":0.00001197749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004936269,"about_ca_topic_score_gemma":0.000002233058,"domain_scores_codex":[0.9990315,0.00009131386,0.0001981627,0.0002757593,0.0002259052,0.0001773919],"domain_scores_gemma":[0.9994317,0.0001235872,0.00009653027,0.0002515547,0.00001973073,0.00007688077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0008526043,0.004422123,0.02769658,0.0001139096,0.001779616,0.0001341903,0.1434058,0.0002484419,0.1428325,0.4753878,0.001521276,0.2016051],"study_design_scores_gemma":[0.07889567,0.007294972,0.3196226,0.0002789646,0.0004014022,0.0003079871,0.004648299,0.2913572,0.2167517,0.04017467,0.03627698,0.003989466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2040799,0.00007886744,0.7875224,0.0001154643,0.0001715785,0.0003267685,0.000006901259,0.00005894672,0.007639229],"genre_scores_gemma":[0.9955635,0.000008465581,0.003867808,0.0002512524,0.00005226623,0.00001784389,5.097181e-7,0.00000593187,0.0002324056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7914836,"threshold_uncertainty_score":0.3902288,"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."}}