{"id":"W4396515568","doi":"10.22215/etd/2024-15869","title":"Enhancing American Sign Language Communication with Virtual Reality: A Gesture Recognition Application on Oculus Quest 2","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Gesture; Sign language; American Sign Language; Headset; Virtual reality; Computer science; Human–computer interaction; Gesture recognition; Interface (matter); Augmentative and alternative communication; Sign (mathematics); Multimedia; Psychology; Linguistics; Artificial intelligence","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":[0.0004328852,0.0005508775,0.0003617868,0.0003737828,0.0001892787,0.0005689627,0.000468734,0.0004565124,0.005770652],"category_scores_gemma":[0.0008764706,0.0001774148,0.0003032361,0.0001887991,0.0001552412,0.0005105104,0.0007880173,0.0002732615,0.00127436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621163,"about_ca_system_score_gemma":0.0002726707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025791,"about_ca_topic_score_gemma":0.001717336,"domain_scores_codex":[0.9996346,0.00009610291,0.00002421731,0.00005368322,0.0001460869,0.00004532404],"domain_scores_gemma":[0.9997664,0.0001053842,0.00001439676,0.00002114864,0.00005796094,0.0000346638],"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":[0.0009079839,0.0005376267,0.00243373,0.0004711443,0.0000494092,0.001503628,0.002243232,0.002512811,0.522929,0.001819071,0.01089966,0.4536927],"study_design_scores_gemma":[0.0005813522,0.006040188,0.06171814,0.0004047758,0.0003810906,0.01324377,0.002777128,0.13268,0.5614986,0.001551448,0.2186076,0.000515839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6651495,0.0007831715,0.2865289,0.0004761886,0.0002114509,0.0009055193,0.0006959065,0.01423295,0.03101645],"genre_scores_gemma":[0.7805431,0.0006877054,0.1908499,0.0003266708,0.00004338803,0.0003977925,0.0007332492,0.0004348592,0.02598334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005770652,"threshold_uncertainty_score":0.01930475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108815737943231,"score_gpt":0.2783520356984632,"score_spread":0.2672638783190309,"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."}}