{"id":"W4385078258","doi":"10.18280/isi.280311","title":"Enhancing Virtual and Augmented Reality Interactions with a MediaPipe-Based Hand Gesture Recognition User Interface","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sangmyung University","keywords":"Gesture; Computer science; Human–computer interaction; Augmented reality; Interaction technique; Fist; Virtual reality; Gesture recognition; Interface (matter); Heuristics; User interface; Process (computing); Artificial intelligence; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006340004,0.0009204636,0.0005185431,0.0004978412,0.0001835263,0.0008283384,0.001158872,0.0005084845,0.009559558],"category_scores_gemma":[0.002504371,0.0004701607,0.0004539019,0.0002702255,0.0002326931,0.00119047,0.00113202,0.0004717897,0.001685501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001997531,"about_ca_system_score_gemma":0.0003086104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009629357,"about_ca_topic_score_gemma":0.001553431,"domain_scores_codex":[0.9996019,0.00006017086,0.00003965311,0.00009829694,0.0001507991,0.00004921026],"domain_scores_gemma":[0.9992719,0.0003602215,0.00005490434,0.00009407274,0.0001664047,0.00005242457],"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":[0.001459851,0.0003330667,0.001967864,0.0005265026,0.00008992746,0.0004079126,0.0006580956,0.00489158,0.3771443,0.001827754,0.005660393,0.6050327],"study_design_scores_gemma":[0.0003843635,0.002718117,0.01984491,0.0001915292,0.000256697,0.002418628,0.0002625775,0.5172629,0.3988928,0.001925488,0.05549077,0.0003513719],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06387826,0.0002401892,0.909214,0.00008927289,0.00009951327,0.000426672,0.0002765299,0.0218748,0.003900829],"genre_scores_gemma":[0.2708838,0.0001730518,0.7192401,0.0001894956,0.00003105668,0.0004315464,0.0004009726,0.0007447702,0.00790512],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009559558,"threshold_uncertainty_score":0.03197998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02226124831517621,"score_gpt":0.2546688469667951,"score_spread":0.2324075986516189,"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."}}